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i UNIVERSITY OF CALIFORNIA, SAN DIEGO Digital-IF SiGe BiCMOS Transmitter IC for 3G WCDMA Handset Application A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Electrical Engineering (Electronic Circuits and Systems) by Vincent Wing-Ching Leung Committee in charge: Lawrence E. Larson, Chair Peter M. Asbeck Laurence B. Milstein Andrew C. Kummel William G. Griswold Prasad S. Gudem 2004
Transcript

i

UNIVERSITY OF CALIFORNIA, SAN DIEGO

Digital-IF SiGe BiCMOS Transmitter IC for

3G WCDMA Handset Application

A dissertation submitted in partial satisfaction of the

requirements for the degree Doctor of Philosophy

in

Electrical Engineering (Electronic Circuits and Systems)

by

Vincent Wing-Ching Leung

Committee in charge:

Lawrence E. Larson, Chair Peter M. Asbeck Laurence B. Milstein Andrew C. Kummel William G. Griswold Prasad S. Gudem

2004

ii

Copyright

Vincent Wing-Ching Leung, 2004

All rights reserved.

iii

Signature Page

iv

Dedication

To my wife Venus,

To our son Ivan,

& to my parents.

給明茵, 宇謙, 和我的父母親

v

Table of Contents

SIGNATURE PAGE..........................................................................................................III

DEDICATION.................................................................................................................. IV

TABLE OF CONTENTS..................................................................................................... V

LIST OF FIGURES........................................................................................................ VIII

LIST OF TABLES ......................................................................................................... XIII

ACKNOWLEDGEMENTS ...............................................................................................XIV

VITA, PUBLICATIONS AND FIELDS OF STUDY........................................................... XVII

ABSTRACT ...................................................................................................................XIX

CHAPTER 1 INTRODUCTION ....................................................................................... 1

1.1 3G Wireless System and Wideband CDMA ...................................................... 3

1.1.1 Analog 1G and Digital 2G ....................................................................... 3

1.1.2 Vision and Evolution of 3G ..................................................................... 5

1.1.3 Wideband CDMA .................................................................................... 6

1.2 Transmitter IC for WCDMA Handset .............................................................. 10

1.2.1 Transmitter IC Fundamentals................................................................. 11

1.2.2 WCDMA Transmission Specifications.................................................. 16

1.3 SiGe BiCMOS Process..................................................................................... 22

1.3.1 SiGe HBT Basics ................................................................................... 24

1.3.2 IBM 6HP Process................................................................................... 28

1.4 Dissertation Objectives and Organization ........................................................ 31

CHAPTER 2 HIGHLY-INTEGRATED TXIC ARCHITECTURE..................................... 35

2.1 Survey of TxIC Architectures for WCDMA Handsets .................................... 36

2.1.1 Heterodyne Transmitter Architecture .................................................... 36

2.1.2 Homodyne Transmitter Architecture ..................................................... 42

2.2 Digital-IF Transmitter Architecture ................................................................. 46

vi

2.2.1 Architecture Overview........................................................................... 46

2.2.2 Digital Quadrature Modulator................................................................ 47

2.2.3 Problem of Reconstruction (IF) Filtering............................................... 48

2.2.4 Frequency Planning Scheme.................................................................. 51

2.2.5 High-Order-Hold DAC .......................................................................... 53

2.2.6 Pulse-Shaping and Interpolation Filters................................................. 58

2.2.7 Summary of the Transmitter Architecture ............................................. 65

2.3 Spurious Emission Simulations........................................................................ 66

2.4 Summary........................................................................................................... 73

CHAPTER 3 LOW-POWER TXIC CIRCUITS.............................................................. 75

3.1 8-bit 250 Msps SOH DAC ............................................................................... 77

3.1.1 Circuit Design ........................................................................................ 77

3.1.2 Measured Results ................................................................................... 84

3.2 SSB Mixer ........................................................................................................ 93

3.2.1 Circuit Design ........................................................................................ 93

3.2.2 Measured Results ................................................................................... 99

3.3 RFVGA........................................................................................................... 105

3.3.1 Circuit Design ...................................................................................... 105

3.3.2 Measured Results ................................................................................. 108

3.4 Summary......................................................................................................... 113

CHAPTER 4 AMPLIFIER LINEARITY IMPROVEMENT BY ENVELOPE INJECTION .. 115

4.1 Linearity Analysis of Envelope Injection Technique..................................... 116

4.2 Discussions on Theoretical Results ................................................................ 121

4.3 Comparison of Measurement and Simulation Results ................................... 124

4.4 Summary......................................................................................................... 126

CHAPTER 5 MEASURED TXIC RESULTS................................................................ 127

5.1 Experimental Setup ........................................................................................ 128

5.2 Measured Results............................................................................................ 130

5.3 Summary......................................................................................................... 140

vii

CHAPTER 6 CONCLUSIONS ..................................................................................... 142

6.1 Key Research Results ..................................................................................... 142

6.2 Directions for Future Research....................................................................... 144

REFERENCES .............................................................................................................. 146

viii

List of Figures

Figure 1.1 Increase of mobile service subscribers over the years. .................................2

Figure 1.2 Comparison of (a) FDMA and (b) TDMA concepts.....................................5

Figure 1.3 The conceptual CDMA concept....................................................................8

Figure 1.4 Principle of spreading and despreading in CDMA. .....................................9

Figure 1.5 Block diagram of a cellular handset, showing the position of the TxIC.....11

Figure 1.6 Conceptual diagram of the quadrature modulator.......................................12

Figure 1.7 Conceptual diagram of an up-conversion single-sideband mixer. ..............15

Figure 1.8 A sample plot of measured spectral regrowth.............................................18

Figure 1.9 Spectral emission mask specifications. .......................................................19

Figure 1.10 Illustration of error vector and the related parameters. .............................20

Figure 1.11 (a) Schematic device cross section of a SiGe HBT, and (b) the micro-photographic view [48]. ..................................................................................25

Figure 1.12 Energy band diagram of a graded-base SiGe HBT compared to a Si BJT..........................................................................................................................25

Figure 1.13 SiGe HBT, whose fT is inherently higher than that of silicon for the same bias current, can trade off the excess speed to achieve a low-power solution..........................................................................................................................27

Figure 1.14 Current consumption of PA and TxIC versus the transmitter output power, and the output power probability distribution function. A poorly designed TxIC can substantially reduce overall transmitter efficiency. ........................32

Figure 2.1 Block diagram of a conventional heterodyne transmitter. ..........................38

Figure 2.2 Two variable-IF heterodyne architectures which eliminate the external IF filter by (a) implementing a complex-IF filter, and (b) adopting a frequency planning scheme..............................................................................................41

Figure 2.3 Block diagram of a typical homodyne transmitter......................................43

Figure 2.4 Heterodyne transmitter with digital IF modulator. .....................................46

ix

Figure 2.5 Locations of digital images when (a) L = 16, and (b) L = 32. The “black” signal is the desired signal and the “white” are the digital images. ................50

Figure 2.6 Frequency planning illustration: locations of images when the channel is at (a) the lower or (b) the upper edge of the WCDMA Tx band. .......................52

Figure 2.7 Transient waveforms of (a) S/H DAC and (b) FOH DAC, and (c) their corresponding spectrum rolloffs. ....................................................................54

Figure 2.8 Signal processing of (a) a FOH DAC and (b) a Kth-order hold DAC.........56

Figure 2.9 Output waveforms of the (a) ZOH, (b) FOH, and (c) SOH DAC...............58

Figure 2.10 (a) Magnitude responses of the comb filter of order 3 to 6, and (b) the filtered 3x-upsampled spectrum. (fclk = 23.04 MHz). .....................................61

Figure 2.11 Spectrum of the 11x up-sampled signal after the 3rd-order comb filter (fclk = 253.44 MHz)................................................................................................ 62

Figure 2.12 An efficient implementation of a Nth-order comb lowpass filter for an L-times interpolation...........................................................................................62

Figure 2.13 (a) Spectrum of the digital-IF signal, and (b) the corresponding spectrum expressed in dBc over the respective measurement bandwidth......................63

Figure 2.14 Spectrum of the digital-IF signal in dBc over measurement bandwidth with 5-bit or 8-bit of resolution.......................................................................65

Figure 2.15 The proposed transmitter architecture featuring a SOH DAC. .................66

Figure 2.16 Output spectrum of the TxIC from dc to 12.5 GHz. .................................68

Figure 2.17 Simulated output spectrum of the TxIC in the DCS and WCDMA bands..........................................................................................................................69

Figure 2.18 Simulated output spectrum of the TxIC when the SOH DAC is replaced by a conventional ZOH DAC..........................................................................70

Figure 2.19 Combined magnitude responses of the RF bandpass SAW filter and the duplexer filter..................................................................................................72

Figure 2.20 Transmit signal spectrum at the antenna, expressed in dBc/ 5MHz, (a) from DC to 12.5 GHz, and (b) near the DCS/ WCDMA bands. Maximum (worst-case) TxIC output power of +24 dBm is assumed. .............................73

Figure 3.1 Block diagram of the WCDMA handset TxIC (analog/RF frontend chip). 77

x

Figure 3.2 Simplified schematic of the SOH DAC core, featuring the dominantly capacitive load.................................................................................................78

Figure 3.3 Single-ended conceptual diagram of the 16 to 1 capacitor divider network..........................................................................................................................80

Figure 3.4 (a) Schematic of the bottom current source array (showing the MSB segment only), and (b) the plan for the complete common-centroid current source layout. ..................................................................................................83

Figure 3.5 Schematic of the IFVGA. It implements the second integrator for the SOH D/A conversion. ..............................................................................................84

Figure 3.6 Micro-photograph of the SOH DAC test cell. ............................................85

Figure 3.7 Illustration of test setup for the DAC evaluation. .......................................86

Figure 3.8 A typical probe station setup for subsystem test chip evaluation. .............. 87

Figure 3.9 (a) Measured SOH DAC output transient waveform, and (b) the measured spectrum from dc to 1 GHz. The spectrum exhibits the elevated [sin(x)/x]3 image rolloff, confirming the SOH D/A conversion behavior........................89

Figure 3.10 Measured SFDR of the SOH DAC. ..........................................................90

Figure 3.11 Measured SOH DAC two-tone (a) transient waveform and (b) spectrum..........................................................................................................................91

Figure 3.12 Measured ACLR results of the SOH DAC. .............................................. 91

Figure 3.13 Comparison of the SOH DAC to other commercial 8-bit DAC solutions regarding conversion speeds and current consumptions.................................92

Figure 3.14 Broadband 90o phase shifter. ....................................................................93

Figure 3.15 (a) Calculated phase output responses of the 90o phase shifter circuits, and (b) their differences.........................................................................................96

Figure 3.16 (a) Divide-by-two circuit for the quadrature LO generation, and (b) implementation of each latch. .........................................................................97

Figure 3.17 Implementation of mixer variable-gain through (a) a bleeder circuit, and (b) a translinear stage. The translinear circuit is more power efficient as current consumption will drop with the mixer gain simultaneously...............98

Figure 3.18 Single-sideband up-conversion mixer core............................................... 99

xi

Figure 3.19 Micro-photograph of the single-sideband mixer test cell. ......................100

Figure 3.20 Setup for the SSB mixer experimentation...............................................100

Figure 3.21 (a) Measured mixer gain versus the control current (Ictrl), and (b) the measured total mixer current consumption versus the gain..........................101

Figure 3.22 A sample measured output spectrum of the SSB mixer. A single-tone IF input is applied for LO leakage and sideband rejection measurements........102

Figure 3.23 Measured LO and sideband rejection versus the mixer gain. .................103

Figure 3.24 Measured mixer compression behavior. .................................................103

Figure 3.25 Measured WCDMA spectrum of the SSB mixer at the maximum average output power. ................................................................................................104

Figure 3.26 Measured mixer ACLR results versus output power levels....................105

Figure 3.27 Simplified schematic of the RFVGA. The two stage design features adaptive bias schemes to make linearity requirements while minimizing the quiescent current consumptions. ................................................................... 106

Figure 3.28 Power detector bias control circuit..........................................................107

Figure 3.29 Microphotograph of the RFVGA test chip. ............................................109

Figure 3.30 Experimental setup for the RFVGA test chip evaluation. ...................... 109

Figure 3.31 Measured current consumption of the RFVGA versus the input power level...............................................................................................................110

Figure 3.32 Measured gain compression of the RFVGA versus output power level. 111

Figure 3.33 Measured ACLR of RFVGA showing the linearity improvements due to the power detector bias control. .................................................................... 112

Figure 3.34 Measured RFVGA ACLR results versus output power. Linearity improvement is observed over a wide range of power level.........................113

Figure 4.1 Conceptual diagram of the adaptive-bias RF amplifier. The power detector adjusts the dc bias in response to the input power. .......................................117

Figure 4.2 Nonlinear amplifier model, for Volterra analysis using method of nonlinear currents [89]. The fundamental signals are found by setting the nonlinear current sources to zero, while higher-order distortion voltages are evaluated by setting the signal source to zero. ..............................................................118

xii

Figure 4.3 Vector diagram illustrating the cause of IMD3 asymmetry. Vectors 4 and represent the injected envelope signal. Note that the two resulting IMD vectors will have different amplitudes depending on the phase of the envelope. .............................................................................................122

Figure 4.4 Vector diagram showing optimal IMD3 cancellation. Note that the injected envelope signal cancels the third-order components when its phase and amplitude are optimized................................................................................124

Figure 4.5 IMD3 reduction versus input when the envelope detector is enabled. Good agreement is observed between the calculation and measured results, thus confirming the Volterra series analysis.........................................................125

Figure 4.6 Comparison between calculation and simulation of IMD asymmetry with varying envelope injection phase. Maximum IMR3 cancellation is achieved when the envelope signal is injected with the optimal phase relative to the RF inputs.............................................................................................................126

Figure 5.1 TxIC chip microphotograph. It measures 1.8 x 2.2 mm2. .........................128

Figure 5.2 Pictures of (a) the quad flat no-lead package, and (b) the bonded TxIC chip........................................................................................................................129

Figure 5.3 Experimental setup for the TxIC chip evaluation. ....................................129

Figure 5.4 (a) Laboratory bench for TxIC evaluation, and (b) close-up of the PCB. 130

Figure 5.5 (a) The measured TxIC output spectrum in the DCS and WCDMA bands. (b) Normalized and including the external filter attenuation, it is shown to meet the spurious emission requirements. ....................................................131

Figure 5.6 Measured TxIC residual sideband and LO leakage. .................................133

Figure 5.7 Measured TxIC WCDMA output spectrum (Pout = +5.5 dBm). ...............134

Figure 5.8 Measured TxIC ACLR’s versus gain control. ..........................................134

Figure 5.9 Measured occupied bandwidth of the TxIC WCDMA output. .................135

Figure 5.10 Measured TxIC noise in the WCDMA Rx band.....................................136

Figure 5.11 Measured TxIC QPSK constellation for Pout = +5.5 dBm. .....................136

Figure 5.12 Measured TxIC current consumption. ....................................................137

xiii

List of Tables

Table 1.1 Comparison of wireless standards: GSM, GPRS, EDGE and WCDMA.....10

Table 1.2 Spurious emission requirements for WCDMA handsets. ............................ 21

Table 1.3 Summary of WCDMA handset transmission specifications, and measured TxIC performances of published work [26]-[35]. ............................................22

Table 1.4 Summary of IBM’s 6HP SiGe BiCMOS process parameters. .....................30

Table 1.5 List of process technologies employed by the published TxIC works [26]-[35]. .................................................................................................................. 31

Table 2.1 Comparison of WCDMA TxIC Architecture. ..............................................37

Table 2.2 Comparison between the conventional S/H (ZOH) DAC and the FOH DAC...........................................................................................................................55

Table 2.3 Spurious emission specifications recalculated in dBc/5MHz. .....................71

Table 5.1 Summary of Measured TxIC performances. ..............................................139

Table 5.2 Comparison of published WCDMA TxIC work. .......................................140

xiv

Acknowledgements

The text of Chapter Two, Three, Four and Five, in part or in full, is a reprint of the

material as it appears in Proceedings of IEEE 57th Vehicular Technology Conference,

and 2004 IEEE International Solid-State Circuits Conference (ISSCC) Digest of

Technical Papers, or has been accepted for publication in IEEE Transactions on

Vehicular Technology, and IEEE Journal of Solid-State Circuits, or has been accepted

for presentation in 2004 IEEE Custom Integrated Circuits Conference (CICC). The

dissertation author was the primary researcher and the first author listed in these

publications. He directed and supervised the research which forms the basis for these

chapters.

The past 3 years, during which this research was intensely conducted, can be

characterized as thrilling. The Ph.D. pursuit was as much a test to one’s intellectual

power as a trial to his perseverance. The journey, I must admit, was tough, which

made me particularly thankful for the support and help of many individuals.

I am uniquely advantaged to have two awesome supervisors, and I do not think I

can possibly thank them enough. Prof. Lawrence Larson had created the ideal

environment in which I could fully enjoy conducting original research. I had the best

educational experiences while learning from his profound knowledge and expertise.

And his unequivocal trust and unfailing encouragement were what got me through the

most difficult and doubtful moments. Dr. Prasad Gudem (formerly affiliated with

IBM, now with Qualcomm) is a fantastic mentor. He had substantially enriched and

xv

refined this research with his extraordinarily sharp and intuitive perception on

technical issues. He had a genuine desire to teach and help, and had made himself

incredibly available to ensure I am well supported in all circumstances.

I am indebted to Prof. Peter Asbeck, Prof. William Griswold, Prof. Andrew

Kummel and Prof. Laurence Milstein, for their generous efforts to serve on my thesis

examination committee.

I would like to thank Semiconductor Research Corporation (SRC) and the

sponsoring companies of the “SRC SiGe Design Challenge” for the IC chip

fabrication. I also want to gratefully acknowledge the financial support from the

UCSD Center for Wireless Communications and its Member Companies, and a UC

Discovery Grant.

I thank Dr. Paul Chominski of Jaalaa and Mr. David Rowe of Sierra Monolithics

for many helpful comments and discussions. At UCSD, I would like to acknowledge

Mr. Peter Sagazio for designing and implementing the digital-IF section on a FPGA;

Ms. Karina Garcia for programming the digital pattern generator; Mr. Junxiong Deng

for assisting in Volterra series linearity analysis; and Mr. Chi-Shuen Leung for writing

an automatic test routine for a spectrum analyzer. I also want to thank other

accomplished colleagues in Prof. Larson’s and Prof. Asbeck’s groups for countless

uplifting conversations and kind laboratory assistances.

The brothers and sisters of the Chinese Bible Church of San Diego deserved my

special thanks. They were my companions in Christ, and they shared my struggles and

xvi

joy. It is a warm feeling to know that my family is safely blanketed in their love and

care.

I express my most sincere appreciation to my wife Venus, who has

wholeheartedly put my best interest to the very top of her priorities. While I focused

on the research and could not distinguish days from nights, she had silently prayed for

me, offered support, and managed everything. She deserves all of my achievements

and honors, if any. My cheerful son Ivan was born at about the same time the silicon

chip of this research got fabricated. He had been a fountain of bliss and wonder to my

family. He had made our last year of stay in San Diego remarkably memorable, as if

“City Paradise” and gorgeous sunset were not enough.

Lastly, I would like to express my utmost gratitude to my Heavenly Father.

Without His providence and guidance, none of the amazing things mentioned above

would have happened. To me, what made the suspense of Ph.D. studies bearable was

His gracious assurance: The Lord is my shepherd, I shall not want (Psalm 23:1). My

family had truly witnessed His blessings in abundance.

xvii

Vita

1995 B. Eng. EE (Honors), McGill University, Montreal, Canada

1997 M. Eng. EE, McGill University, Montreal, Canada Dissertation: Analysis and Compensation of Log-Domain Filter Deviations due to Transistor Nonidealities

1997-2000 Analog IC Designer, Analog Devices, Somerset, NJ

2004 Ph. D. EE, University of California, San Diego Dissertation: Digital-IF SiGe BiCMOS Transmitter IC for 3G WCDMA Handset Application

2004 Research Staff Member, IBM T.J. Watson Research Center, Yorktown Heights, NY

Publications

B. Song, V. Leung, T. Cho, D. Kang and S. Dow, “A 2.4GHz bluetooth transceiver in 0.18μm CMOS,” Proc. IEEE Asia-Pacific Conf. on ASIC, pp. 117-120, Aug. 2002.

V. Leung, L. Larson and P. Gudem, “An improved digital-IF transmitter architecture for highly-integrated WCDMA mobile terminals,” Proc. IEEE 57th Vehicular Tech. Conf., vol. 2, pp. 1335 -1339, Jeju, Korea, Apr. 2003.

V. Leung, L. Larson and P. Gudem, “An ultra-low-power SiGe BiCMOS transmitter IC for 3G WCDMA mobile phone applications,” Proc. Semiconductor Research Corporation TECHCON, Dallas TX, Aug. 2003. (The work was awarded Second Prize of the SRC SiGe Design Challenge.)

V. Leung, P. Gudem and L. Larson, “Dynamically-biased driver amplifier for WCDMA mobile phone transmitter applications,” IEEE Topical Workshop on Power Amplifiers for Wireless Communications, San Diego, CA, Sept. 2003.

V. Leung, L. Larson and P. Gudem, “Digital-IF WCDMA handset transmitter IC in 0.25um SiGe BiCMOS,” ISSCC Dig. Tech. Papers, pp. 182-183, Feb. 2004.

xviii

V. Leung, L. Larson and P. Gudem, “An improved digital-IF transmitter architecture for highly-integrated WCDMA mobile terminals,” accepted for publication in IEEE Trans. on Vehicular Technology.

V. Leung, J. Deng, P. Gudem and L. Larson, “Analysis of envelope signal injection for improvement of RF amplifier intermodulation distortion,” to be presented at IEEE Custom Integrated Circuit Conf., Orlando, FL, Oct. 2004.

V. Leung, L. Larson and P. Gudem, “Digital-IF WCDMA handset transmitter IC in 0.25um SiGe BiCMOS,” accepted for publication in IEEE J. Solid-State Circuits (special Dec. issue on ISSCC 2004).

Fields of Study

Major Field: Electrical Engineering

Studies in Circuit and System Design for Wireless Communications. Professor Lawrence E. Larson and Dr. Prasad S. Gudem

Studies in Analog Integrated Circuit Design. Professor Gordon W. Roberts, McGill University, Montreal, Canada

xix

Abstract

ABSTRACT OF THE DISSERTATION

Digital-IF SiGe BiCMOS Transmitter IC for 3G WCDMA Handset Application

by

Vincent Wing-Ching Leung

Doctor of Philosophy in Electrical Engineering (Electronic Circuits and Systems)

University of California, San Diego, 2004

Professor Lawrence E. Larson, Chair

The expansion of mobile communication market has been remarkable. From

originally providing voice service, the wireless industry has gradually evolved to

enable high bit-rate multi-media communications. Within the next generation (3G)

framework, the WCDMA system has emerged as a standard.

xx

There is enormous pressure to reduce the size, cost and power consumption of

the cellular handsets. While digital circuits have experienced tremendous power

saving and enhanced functionalities with the progress of deep sub-micron processes,

the analog/RF sections remain the bottleneck. This dissertation focuses on the design

of a highly-integrated low-power transmitter IC (TxIC) in a 0.25 μm SiGe BiCMOS

technology for the WCDMA handset applications.

The TxIC employs an improved highly-integrated digital-IF architecture.

Excellent EVM performance is achieved due to the inherently mismatch-free digital

quadrature modulation. The architecture eliminates the external IF SAW filter by

adopting an optimal frequency plan and a special-purpose D/A conversion scheme

which produces high-order sin(x)/x rolloff. Spurious emission requirements are then

met with no dedicated reconstruction filter circuits. As the D/A boundary is shifted

closer to the antenna, the architecture will take full advantage of future CMOS

technology scaling.

Smart-power circuit techniques are researched. A high-speed DAC is designed

to drive a dominantly capacitive load employing very low bias current. The up-

conversion mixer, by means of a translinear transconductor, will effectively scale

down the power usage for gain control. The RF amplifier features an adaptive bias

scheme based on a power detector circuit, so that high linearity can be simultaneously

achieved with high efficiency.

xxi

To provide further linearity improvement without increasing the quiescent

current consumption, a linearization technique based on envelope signal injection is

proposed. It is analyzed rigorously using the Volterra method, and the theoretical

predications match very well with the measured and simulated results.

Experimentations on the fabricated TxIC chip have confirmed its correct

functionality in all aspects, with state-of-the-art performance that meets WCDMA

transmission requirements. It also compares very favorably to other published work in

terms of level of integration and power consumption.

1

CHAPTER 1 Introduction

It is hard to overstate how profoundly the advancement of cellular technology has

changed the means by which we communicate. By allowing its users to stay in touch

without being physically tied to a fixed location, and with ever improving quality and

affordability, the wireless service has become a daily necessity for a growing portion

of the population. This “anytime anywhere” voice communication allows a level of

flexibility and convenience that, once experienced, is almost inconceivable to

relinquish. The cellular technology promises to continue its penetration to our society

the way wired telephony did a century ago.

The popularity of wireless service can be best illustrated through the explosive

growth of the number of subscribers. As shown in Figure 1.1, the number of mobile

subscribers has grown over 100-fold in the past ten years [1]. Today there are over one

billion users in the world, and the number is still growing in a healthy pace. It is

expected that the global number of mobile subscribers will surpass that of the fixed

network subscribers at some point in the near future [2].

2

Figure 1.1 Increase of mobile service subscribers over the years.

For many business and home users, wireless has already become the method of

choice for voice communication. There is also a growing demand to communicate

data in a similarly flexible (wireless) fashion, and at speeds comparable to that offered

by the wired broadband modems in office or at home. Reasonable internet access

requires several hundred kbps (kilo-bit per second) peak rate for download, while

video and picture transfer services require bit rates between a few tens of kbps to

about 2 Mbps (mega-bits per second) [3]. The third-generation (3G) technology is the

wireless industry’s answer to this high-bandwidth communication challenge.

Wideband CDMA is one standard within the 3G framework.

The advancement in wireless services has posed stiff challenges to RF IC

designers to derive cost effective, small form factor and power efficient frontend

Year 1993 1992 1994 1995 1996 1997 1998 1999 2000 2001 2002

Cel

lula

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(mill

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0

200

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600

800

1000

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3

solutions. This dissertation focuses on the optimal design of a 3G WCDMA SiGe

BiCMOS handset transmitter IC (TxIC).

This introductory chapter will provide the background for the research. To begin

with, we will explore the wireless evolution and put the latest 3G WCDMA standard

into perspective. It will be followed by a review on the handset transmitter functions

and the corresponding 3G specifications. Subsequently, the basics of SiGe BiCMOS,

which is the process technology for this transmitter IC development, will be provided.

We will conclude this chapter by presenting the objectives and the organization of the

dissertation.

1.1 3G Wireless System and Wideband CDMA

1.1.1 Analog 1G and Digital 2G

Cellular Telephony arrived in North America in 1983 with the rollout of the Advanced

Mobile Phone System (AMPS) [2]. Referred to as a first generation (1G) system, it

employed analog methods, in which voice signals are superimposed onto the radio

frequency (RF) carrier using frequency modulation (FM). To share the limited

spectrum among multiple mobile phone users, frequency division multiple access

(FDMA) was employed. This channel allocation scheme is straightforward as shown

in Figure 1.2(a). A user is assigned one of the (for instance, 30 kHz) channels

exclusively within the available spectrum to make the call.

4

By offering the new-found freedom of mobile communication, the deployment

of the 1G system enjoyed great success. Demand for the service was very high,

exposing the system’s weakness of inadequate capacity. Other drawbacks of this

analog-based scheme included relatively poor call quality, limited coverage and low

security (problem of eavesdropping) [2].

To mitigate that, second generation (2G) systems employing digital technology

were deployed in the late 1980s. Message signals are digitally encoded before being

superimposed onto the RF carrier. As a result, powerful digital coding techniques can

be utilized to improve voice quality and boost immunity to channel noise and

interferences. Moreover, time division multiple access (TDMA) is applied such that

each channel was divided into time slots. Multiple simultaneous conversations can

take place at the same RF channel on a time-sharing basis, as shown in Figure 1.2(b).

The channel capacity of the 2G system was thus significantly higher than its ancestor

(where each channel is dedicated to a single conversation). Examples of 2G system

include North American Digital Cellular (NADC) [4] introduced in the U.S. in the late

1980s, and the Global System for Mobile Communication (GSM) in Europe [5] in the

early 1990s.

5

Figure 1.2 Comparison of (a) FDMA and (b) TDMA concepts.

1.1.2 Vision and Evolution of 3G

In the 1990s, ITU (International Telecommunications Union) worked on the vision of

defining a future third generation (3G) wireless framework known as IMT-2000

(International Mobile Telecommunications-2000). Its objectives are global coverage

and a significantly enhanced data rate (over the 2G systems to support broadband

services such as internet access or multimedia communication). The target data rate

for stationary users is 2.048 Mbps. For the pedestrian and the vehicular user, the data

rates should reach 384 kbps and 144 kbps, respectively [6].

The evolution from 2G to 3G begins with the creation of robust, packet-based

data services from a pure circuit-switched-voice system [7][8]. Packet switched

communication is provided to ensure efficient resource usage for data transmission

that are bursty in nature. For example, based on the (2G) GSM standard which has a

slow data rate of 9.6-14.4 kbps, the packet mode extension is called General Packet

Radio Service (GPRS) [9]. Higher data rate is provided since GPRS can allocate

multiple time slots in parallel to a user. The assigned number of time slots is adaptive

time

frequency

Pow

er

time

frequency

Pow

er

(a) (b)

6

to the network usage: it can be reduced in case of scarcity of resources for voice

service. GPRS service can also flexibly handle asymmetric services by allocating

different numbers of time slots in the up-link (that is, from the mobile phone user to

the basestation) and down-link (from basestation to user). The maximum data rate is

171.2 kbps in theory, and 20/30 kbps in practice. Since 3G services start at 144 kbps

(vehicular user) as described earlier, some service providers called their GPRS

implementations 2.5G to differentiate it from their 2G offerings.

As the second transitional step to 3G, Enhanced Data rates for GSM Evolution

(EDGE) [10] increases the gross bit rate by applying enhanced modulation schemes

with improved spectral efficiency. The modulation format is the 8-phase shift keying

which transmits 3 bits per symbol (instead of the Gaussian minimum shift keying

(GMSK) employed for GSM that transmits 1 bit per symbol). Data rate up to 384 kbps

can be achieved, which reaches the pedestrian user rate of the 3G target.

1.1.3 Wideband CDMA

Wideband CDMA (WCDMA) is the ultimate 3G destination of the GSM evolution. It

is selected by the European Telecommunications Standards Institute1 (ETSI) for

1 Although widely adopted in Japan and Europe, WCDMA represents only one version of the 3G

wireless standards. While the main purpose of IMT-2000 was to standardize worldwide allocation and

use of radio spectrum (a process known as “harmonization” to facilitate global roaming), there exist

five major (competing) systems within the framework [12][13] at the end due to intense political and

vendor lobbying [14]. In particular, WCDMA should not be confused with the cdma2000 standard [16]

in the U.S. Although both are based on the CDMA technology, cdma2000 has different modulation and

7

wideband radio access to support 3G multimedia service [11]. The data networking for

WCDMA is based on GPRS/ EDGE. As a result, WCDMA service can be integrated

with the existing GSM core network cost-effectively. It adds the ability to handle 2

Mbps data rate by making use of wide-bandwidth channels of 5 MHz. The transmit

band occupies 1920-1980 MHz, while 2110-2170 MHz is reserved for receive band in

frequency division duplex (FDD) operation.

WCDMA employs code-division multiple access, or CDMA, (in oppose to the

FDMA or TDMA described before) to distinguish between users who share the

common transmission medium [16]. At the transmitter side, each user’s message

signal is encoded by a unique (orthogonal) code sequence, which is composed of

pseudo-random bits (known as “chips”) running at a much higher rate than the

information being sent. Since the bandwidth of the code signal is much larger than that

of the message, the encoding process “spreads” the signal spectrum. The encoded

message signal will share the same frequency (channel) with other users at the same

time, as shown in Figure 1.3. This is to contrast with the other two multiple access

schemes shown in Figure 1.2.

spreading schemes [17], and it adopts a different evolutionary path from its 2G IS-95 (also known as

cdmaOne) ancestor [11][15].

8

Figure 1.3 The CDMA concept.

At the receiver side, the received signal will be correlated with a synchronously-

generated replica of the spreading code. (This implies that the receiver has knowledge

of the modulating code the transmitter applies.) Assuming the cross-correlations

between the code of the desired user and the code of other users are small (or the

spreading codes are orthogonal), the receiver will “despread” the signal of the desired

user, while the signals from other users will stay spread and appear as background

noise. As a result, within the information bandwidth, the power of the desired user will

be much larger than that of the other users, as shown in Figure 1.4. The desired signal

can be readily extracted. Notice that for similar reasons, the spread-spectrum

modulation is also robust against interferences or jamming signals.

time

frequency Po

wer

9

Figure 1.4 Principle of spreading and despreading in CDMA.

CDMA is more susceptible to the “near-far” problem than its FDMA or TDMA

counterparts [18][19]. A weak received signal from a far-away user can be totally

overwhelmed by a strong signal from a nearby user. Since the strong signal will raise

the noise floor upon despreading, detection of the desired weak signal is greatly

degraded. To mitigate that, CDMA transmitters must feature relatively wide and

accurate power control (or specifically, signal attenuation capability) to ensure that the

signal levels presented to the basestation receiver are roughly equal (for instance,

within 1 dB of each other).

In summary, Table 1.1 compares the key air interface specifications for

WCDMA to its 2G and 2.5G ancestors. As will become evident in subsequent

chapters, the wide-bandwidth variable-envelope WCDMA signal, as well as the wide

ω

1W ( t ) t

user 1

t

user 2

ω

2W ( t )

ω

users 1 & 2

jammer

1W ( t )

ω

user 1 user 2 + jammer

transmitters receiver Air interface

t

10

gain control range mandated for the system, will have major impacts on the RF

frontend architecture and circuit design.

Table 1.1 Comparison of wireless standards: GSM, GPRS, EDGE and WCDMA.

1.2 Transmitter IC for WCDMA Handset

As traditional low-data-rate voice-centric handsets evolve to advanced high-data-rate

feature-rich “smart” phones, the mobile radio design sees a substantial increase in

complexity [1]. But as the 3G wireless system gains popularity, there is also an

enormous pressure to reduce the size, cost and power consumption of the mobile

phone chipset [20][21]. While the digital baseband part has experienced tremendous

power saving and functionality enhancement due to the progress of deep submicron

GSM GPRS EDGE WCDMA

Generation 2G 2.5G 2.5G 3G

Uplink Freq. (MHz) EGSM: 925-960, DCS:1805-1910 1920-1980

Downlink Freq. (MHz) EGSM: 880-915, DCS: 1710-1785 2110-2170

Channel BW (MHz) 0.2 0.2 0.2 5

Multiple Access TDMA TDMA TDMA CDMA

Duplexing Frequency Division Duplexing

Modulation GMSK GMSK 8-PSK QPSK (with Hybrid PSK spreading)

Signal envelope Constant Constant Variable Variable

Power control range Small (about 25 dB) Wide (>74 dB)

Data Rate (kbps) 9.6 – 14.4 171.2 384 2048

11

technologies, the analog/RF sections of the mobile radio remain the bottleneck in

achieving a low-power high-performance solution.

This dissertation focuses on the innovative design of the transmitter IC (TxIC), a

key RF component on the 3G WCDMA handset solution [22]-[35]. The TxIC

contributes significantly to the evaluation of part count (which translates to cost), size

and the battery life of the final handset solution.

1.2.1 Transmitter IC Fundamentals

The TxIC is located between the digital signal processor (DSP) and the power

amplifier (PA) as shown in Figure 1.5. Interfacing between the digital and the

analog/RF domains, it faithfully translates the baseband data into a format suitable for

transmission to the basestation. Specifically, the translation operation entails: (1)

quadrature modulation of baseband data, (2) up-conversion to the radio frequencies,

and (3) power control. (Notice that the distinctions are made only for the sake of

conceptual clarity; these functions, especially the first two, are often achieved

simultaneously.) These concepts are discussed below [18].

Figure 1.5 Block diagram of a cellular handset, showing the position of the TxIC.

transmitter PA SAW

Dup

lexe

r

receiver SAW DSP

this work

12

WCDMA system employs QPSK (quadrature phase shift keying) as its uplink

(from handset to basestation) modulation scheme [39]. The in-phase and quadrature-

phase baseband signals2, Ix ( t ) and Qx ( t ) , are impressed upon a single carrier (of

radian frequency ωc ) according to

ω ωQPSK I c Q cx ( t ) x ( t )cos( t ) x ( t )sin( t )= + (1.1)

This operation is accomplished by the quadrature (I/Q) modulator as shown in Figure

1.6. Two mixer circuits are employed. The modulator is a direct up-converter that

transforms the (5 MHz wideband spread) spectrum of each baseband signal to the

(intermediate-frequency IF, or the RF) carrier frequency. Ideally, it suppresses the

carrier signal ( ωccos( t )), and preserves the orthogonal signal relationships.

Figure 1.6 Conceptual diagram of the quadrature modulator.

2 To tighten the bandwidth of the modulated spectrum, and to achieve Nyquist signaling for zero inter-

symbol interference (ISI) [36], the baseband data Ix ( t ) and Qx ( t ) are generated by pulse-shaping

the symbols on a HPSK constellation [37] by a root-raised-cosine filter with α = 0.22 [39].

cos(ωct)

xI(t)

xQ(t)

Σ

sin(ωct)

xQPSK(t)

13

In practice, however, the accuracy of the I/Q modulation (or the quality of the

transmit signal) is plagued by LO leakage and I/Q leakage (imperfect carrier signal

orthogonality) [38]. These nonideal effects can be explicitly incorporated into (1.1) to

give:

Δ1 ω Δθ ωQPSK I I ,dc c Q Q,dc cnonideal

Ax ( t ) ( x ( t ) x ) cos( t ) ( x ( t ) x ) sin( t )A

⎛ ⎞= + ⋅ + ⋅ + + + ⋅⎜ ⎟⎝ ⎠

(1.2)

where I ,dcx , Q,dcx denote the dc offsets associated with the baseband data, while

ΔA A , Δθ represent the gain and phase mismatches between the I and Q channels,

respectively. The dc offset can be caused by device mismatches at the analog

baseband circuits (before the quadrature modulator) as well as within the mixer

circuits. Because of them, a portion of the carrier signal appears at (or leaks to) the

output of the mixer. On the other hand, the I/Q leakage is due to the gain and phase

imbalances between the quadrature local oscillator (LO) carrier signals (as well as the

mixer circuits). As a result, the outputs of the mixers are not orthogonal and actually

corrupt, or spill into, each other. The leakage power can be found by [19]:

2 2 1 Δ Δθ Δ2 2 1 Δ Δθ Δ

leakage

desired

P A A cos A AP A A cos A A

− + ⋅ +≈

+ + ⋅ + (1.3)

For instance, gain and phase mismatches of 2% and 2o respectively would cause an

I/Q leakage of -35 dBc.

14

In general, an ideal up-conversion mixer produces an output whose amplitude is

proportional to the input signal only. The output should be independent of the LO

signals. In fact, for noise and gain reasons, it is very desirable to drive the mixers with

square waves (instead of sinusoids) LO’s, and operate the mixers as on-off switches

(instead of multipliers) [18]. Square waves have strong odd harmonics and somewhat

significant even harmonics if the duty cycle is not exactly 50%. Due to the spectrally-

rich LO’s and, and to a lesser extent, the harmonic and intermodulation distortions of

the mixer circuit itself, mixing products (spurs) will appear at frequencies given by

spur LO IFf m f n f= ⋅ ± ⋅ (1.4)

where LOf denotes the LO frequency, IFf the input signal (intermediate) frequency,

and m, n are integers ranging from 0 to +∞ . Assuming the up-conversion employs

low-side injection, the desired output is given by LO IFf f+ (that is, 1m n= = ). All

other combinations of ( )m,n denote undesirable spurious emissions, which should be

minimized to prevent polluting the airwaves where a multitude of transmissions (of

different wireless standards) co-exist. In practice, the amplitudes of the spurs decrease

as m or n increases.

For example, strong LO leakage would appear at LOf ( 1 0m ,n= = ). It is usually

suppressed by employing a doubly-balanced (Gilbert) mixer architecture [18].

Besides, an undesirable sideband output, which has equal amplitude as the desirable

one, appears at LO IFf f− (at equal distance from the LO frequency on the opposite

15

side). The sideband can be eliminated by a discrete RF surface acoustic wave (SAW)

filter, which is appropriately known as the image-reject filter. For an integrated

solution, the single-sideband (SSB) mixer architecture [18] of Figure 1.7 can be

employed.

Figure 1.7 Conceptual diagram of an up-conversion single-sideband mixer.

Before we leave this section, let’s investigate a key QPSK signal property that

has crucial influence on the transmitter (and in particular, the RF amplifier) circuit

design. From (1.1), the QPSK-modulated waveform is equivalently written as

ω θQPSK cx ( t ) A( t )cos[ t ( t )]= + (1.5)

where

2 2 1θ QI Q

I

x ( t )A( t ) x ( t ) x ( t ) & ( t ) tan

x ( t )− −⎛ ⎞

= + = ⎜ ⎟⎝ ⎠

(1.6)

As shown in (1.6), the envelope signal A( t ) is signal-dependent. In other words,

QPSK is a “variable-envelope” (linear) modulation scheme. Circuit linearity is of

paramount importance to preserve the information integrity. Besides, circuit

cos(ωct)

xIF(t) Σ

sin(ωct)

XRF(t)

90o

16

distortions will spread the frequency spectrum of the variable-envelope signal to

adjacent channels. Known as “spectral regrowth”, this phenomenon is detrimental to

system capacity. The linearity requirement is usually the most stringent for the RF

amplification stage (or the PA driver located at the end of the TxIC path), which

handles the highest signal level. This inevitably translates to relatively inefficient

amplifier designs. The design of high-linearity high-efficiency RF amplifier is further

complicated by the need of power control, or the very wide range of signal levels the

amplifier will handle. The amplifier should produce high average (not just peak)

efficiency, which takes the statistical signal power distribution into account.

Based on the understanding of the transmitter system fundamentals, we can now

move on to describe the handset transmitter specifications set forth by the WCDMA

standardization body.

1.2.2 WCDMA Transmission Specifications

The WCDMA handset transmission specifications are given in [39], which is available

on the 3rd generation Partnership Project (3GPP) website [40]. Note that the

performance requirements are defined for the entire transmitter path up to the antenna,

while the TxIC is only one of the contributing components. Therefore, the TxIC

should be designed with good safety margins so that when additional impairments are

introduced further along the path (most noticeably, by the PA), system requirements

are still met. Key performance metrics pertaining to the TxIC design are highlighted

and explained below.

17

To combat the near-far problem, closed-loop control of the transmitter output

power must be implemented as described earlier. WCDMA User Equipment (or the

handset) Power Class 3 targets a maximum transmission power level of +24 dBm, and

a minimum of -50 dBm, at the antenna. This corresponds to a very wide power control

range of 74 dB. Since it is not cost-effective to build a variable-gain PA, the power

control range will be realized totally by the TxIC. To account for process, supply and

temperature variations, most manufacturers implement close to 90 dB of dynamic

range into their TxIC’s [26]-[32],[34]-[35]. On the other hand, typical WCDMA PA’s

feature power gain around 25 dB [30],[41]-[43]. Therefore, the TxIC should furnish a

maximum output power of about +5 dBm to meet the maximum transmission power

level (while accounting for additional insertion losses of approximately 2 to 3 dB due

to, for example, the duplexer filter).

The linearity of the transmitter is specified in terms of Adjacent Channel

Leakage Ratio (ACLR). A measure of spectral regrowth, ACLR is the ratio of the

power measured in the adjacent channel to the transmitted power as shown in Figure

1.8. The maximum allowable ACLR at 5 MHz offset (for first adjacent channel) and

10 MHz offset (for alternative adjacent channel) are -33 dBc and -43 dBc,

respectively. These levels must be maintained as long as the adjacent channel power is

greater than -50 dBm. To provide a safety margins for the PA distortions, the ACLR

of the TxIC should be at least 10 dB better than minimum requirements, and equal -43

and -53 dBc at 5 and 10 MHz offsets, respectively.

18

Figure 1.8 A sample plot of measured spectral regrowth.

The shape of the RF transmission spectrum is further governed by the Occupied

Bandwidth and the Spectral Emission Mask requirements. The first requirement

specifies that at least 99% of the transmitted power must fit within a 5 MHz bandwidth

at the chip rate of 3.84 MHz. The second requirement defines the maximum tolerable

unwanted emissions immediately outside the nominal channel between 2.5 MHz and

12.5 MHz offset from the center carrier frequency. (The power of emission is

measured in 30 kHz bandwidth if it is between 2.5 to 3.5 MHz offset frequency, and 1

MHz in the 3.5 to 12.5 MHz region. The out of channel emission is specified relative

to the channel power measured in a 3.84 MHz bandwidth.) These emissions are caused

by the modulation process and transmitter distortion, and should not be confused with

the spurious emissions caused by up-conversion process. The spectral emission mask

requirement is graphically displayed in Figure 1.9.

Frequency in MHz

1935 1940 1945 1950 1955 1960 1965

−70

−60

−50

−40

−30

−20

−10

0

Spec

trum

in d

Bm

transmit channel Adjacent channel leakage

Alternative channel leakage

5 MHz bandwidth

19

Figure 1.9 Spectral emission mask specifications.

The transmitted waveform quality, or the modulation accuracy, is represented by

the performance metric known as root-mean-square (rms) Error Vector Magnitude

(EVM). Error vector is defined as the displacement of the actual measured symbol

from its theoretical constellation position, as shown in Figure 1.10. RMS EVM is

given by the square root of the ratio of the mean error vector power to the mean

reference signal power expressed as a percentage. It shall not exceed 17.5 % for output

power levels greater than -20 dBm. Typically, about 5 to 10 % of EVM is budgeted

for the TxIC.

0 2 2.5 3.5 6 8 9 10 12.5−60

−50

−40

−30

−20

−10

0

10

Frequency offset from carrier (MHz)

Spec

tral

mas

k in

dB

c/B

W

Measurement bandwidth (BW): 1 MHz (over this region) 30 KHz3.84 MHz

spectral emission mask specs.

20

Figure 1.10 Illustration of error vector and the related parameters.

As mentioned earlier, spurious emissions are caused by frequency up-conversion

products, circuit harmonic and intermodulation products, as well as circuit noise. They

must be minimized to avoid degrading the sensitivity of the WCDMA receiver, or

“jamming” nearby receivers operating at different standards. These limits are

summarized in Table 1.2, which defines general and additional spurious emission

requirements in terms of the output power (dBm) over the respective measurement

bandwidth. The design criteria given in [31] are also adopted. Since the specifications

are specified at the antenna, proper adjustments, such as those to be described in

Section 2.3, should be made when evaluating whether the TxIC is meeting the

spurious emission requirements.

I

Q

Ideal signal (reference)

Measured signal Error vector

ΔA

Δθ ΔA = I/Q magnitude mismatch error

Δθ = I/Q phase mismatch error

21

Table 1.2 Spurious emission requirements for WCDMA handsets.

The key 3GPP WCDMA transmission requirements and the TxIC budgets are

summarized in Table 1.3. Measured performances of ten TxIC3 [26]-[35] are also

presented alongside for reference purposes. The measured data match quite closely to

the TxIC design budgets discussed earlier, which support our analysis.

3 These ten TxIC’s are among the most advanced and highly-integrated solutions reported today. (On

the other hand, for conciseness purpose, the chips that only integrate the IF section [22]-[25] are

omitted in the comparison.) They represent a rich sample of architecture and circuit design techniques,

and are implemented in different silicon processes. Further comparisons (including the TxIC of this

research) will be made in subsequent chapters when appropriate.

Frequency bandwidth

Measurement bandwidth

Minimum requirement

Frequency band

9 - 150 kHz 1 kHz -36 dBm

0.15 - 30 MHz 10 kHz -36 dBm

30 - 1000 MHz 100 kHz -36 dBm

General spurious

emissions [39]

1 - 12.75 GHz 1 MHz -30 dBm

1893.5 - 1919.6 MHz 300 kHz -41 dBm PHS

925 - 935 MHz 100 kHz -67 dBm EGSM

935 - 960 MHz 100 kHz -79 dBm GSM

Additional Spurious emissions

[39]

1805 - 1880 MHz 100 kHz -71 dBm DCS Rx

1920 - 1980 MHz 1 MHz -25 dBm WCDMA Tx

2110 - 2170 MHz 3.84 MHz -120 dBm WCDMA Rx Other [31]

1710 - 1785 MHz 100 kHz -49 dBm DCS Tx

22

Table 1.3 Summary of WCDMA handset transmission specifications, and

measured TxIC performances of published work [26]-[35].

To meet the stringent RF performances mandated by WCDMA standard cost

effectively, the TxIC of this research will be implemented on the SiGe BiCMOS

process, as discussed in the next section.

1.3 SiGe BiCMOS Process

Performance, cost and time-to-market are the three critical factors influencing the

choice of technologies in the competitive RF industry [19]. For the handset RF

Specifications/ Institutions [ref.]

Pout (dBm)

Gain (dB)

ACLR @ 5MHz

(dB)

ACLR @ 10MHz

(dB)

Occupied BW

(MHz) EVM (%)

3GPP Specs. +24 74 -33 -43 5 17.5

TxIC Budget ~ +5 90 -43 -53 4.5 5-10

Mitsubishi [26] +7 89.9 -47.6 -68.2 4.2 6.3

IBM [27] +7 95 -49 N/A N/A 6.3

Mitsubishi [28] +7 90.5 -45.6 -62.4 4.3 N/A

TI [29] +6 > 90 -43.7 -61 N/A 6

Philips [30] +5.5 81 -44.4 N/A N/A N/A

IBM [31] +3 115 -47 -65 N/A 2.45

Swiss ETH [32] -8 78 N/A N/A N/A 3.2

Seoul Nat. U. [33] +6 50 -38 N/A N/A N/A

Swiss ETH [34] +2.5 100 -38 -64 N/A 4.3

Qualcomm [35] +10 > 90 ~ -55 N/A N/A N/A

23

frontend design in particular, a process’s performance is judged mainly by the speed,

linearity, noise and breakdown voltage properties of the transistors, the degree of

substrate isolation (or the availability of any specialized inter-device structures to that

effect), as well as the portfolio of passive elements it offers (which include, for

instance, high-linearity metal-insulator-metal (MiM) capacitors and high-Q metal

spiral inductors). Cost is dictated by the technology’s fabrication process and yield,

and the level of integration it supports. In that regard, the compound (III-V)

technologies such as GaAs or InP serve the high-cost low-integration (but the highest

speed and power) space, while the conventional Silicon (Si) processes, especially the

digital CMOS, serve the other end. Time-to-market is closely related to the process

maturity, accuracy of its device model at the intended speed of operation, and

sophistication of the supporting design tools and library.

Silicon-Germanium (SiGe) BiCMOS technology has a unique appeal to the

wireless marketplace by offering the high performances of III-V heterojunction

bipolar transistors (HBT’s), but with the integration (and cost) benefits of

conventional silicon processes [44]. The first standard high-volume SiGe chip was

introduced by IBM Microelectronics (Fishkill, NY and Burlington, VT) in October,

1998 [45]. Since then it has been adopted by a wide range of companies for a wide

variety of applications. Our TxIC research will be conducted on IBM’s 6HP (0.25 μm)

SiGe BiCMOS process [46], which is the second lithography generation of technology

offering. The process’s performances and integration level are important enabling

24

factors for the TxIC architecture and circuit innovations, and the process’s maturity

helps to yield the first-pass silicon success on the experimental prototype.

1.3.1 SiGe HBT Basics

While silicon-based IC’s are superbly manufacturable, silicon is hardly the ideal

semiconductor because of its low carrier mobility and saturation velocity (as compared

to the III-V compounds). However, silicon’s speed can be vastly increased if strained

silicon-germanium alloy, whose energy bandgap is smaller than that for silicon, is

applied to “bandgap-engineer” the silicon material system [47]. Using an epitaxial

growth technique such as UHV/CVD4, films of the SiGe alloy can be deposited on the

base region of a conventional bipolar junction transistor (BJT) as shown in Figure

1.11. The p-SiGe base thus creates heterojunctions at the emitter-base (EB, n+-Si/p-

SiGe) and the base-collector (BC, p-SiGe/n-Si) junctions, hence the name

Heterojunction Bipolar Transistor (HBT).

4 UHV/CVD stands for ultrahigh vacuum chemical vapor deposition [49]. Apart from this step, the

HBT device is essentially identical to conventional silicon BJT, and is built with processing equipment

common to any advanced silicon fabrication facility. For example, the 6HP process is manufactured

using standard 200 mm silicon CMOS production tooling [46]. Therefore, the SiGe BiCMOS process

can enjoy the same low-cost and high-volume characteristics of other conventional CMOS

technologies.

25

Figure 1.11 (a) Schematic device cross section of a SiGe HBT, and (b) the micro-

photographic view [48].

The germanium content is compositionally graded from low concentration at EB

junction to high concentration at the BC junction. This results in the energy-band

diagram as shown in Figure 1.12. It consists of a finite band offset at the EB junction

[Δ 0g ,GeE ( x )= ] as well as the larger band offset at the BC junction [Δ g ,Ge bE ( x W )= ].

The position dependence of the band offset (with respect to Si) is conveniently

expressed as a bandgap grading term:

Figure 1.12 Energy band diagram of a graded-base SiGe HBT compared to a Si BJT.

(a) (b)

EB C

SiGe

26

Δ Δ Δ 0g ,Ge g ,Ge b g ,GeE ( grade ) E (W ) E ( )= − (1.7)

This position-dependent conduction band edge induces an electric field in the device,

which rapidly accelerates injected minority carriers (electrons) as they traverse the

base. The base transit time ( τb ), as compared to an identically constructed Si BJT, is

reduced according to [50]:

Δτ 2 11

τ η Δ Δ

g ,GeE ( grade ) kTb,SiGe

b,Si g ,Ge g ,Ge

kT eE ( grade ) E ( grade ) kT

−⎛ ⎞ ⎡ ⎤−= ⋅ ⋅ −⎜ ⎟ ⎢ ⎥⎜ ⎟ ⎢ ⎥⎝ ⎠ ⎣ ⎦

(1.8)

where η nb nbD ( SiGe ) D ( Si )= accounts for the difference between the electron and

hole mobilities in the base. For RF applications, an important figure of merit for

transistor speed is the unity (current) gain cutoff frequency ( Tf ), which is given by

( )1

1 τT eb bc bm

f C Cg

−⎡ ⎤

≈ + +⎢ ⎥⎣ ⎦

(1.9)

where mg is the transconductance ( C TI V ), and ebC , bcC are the EB and BC junction

capacitances, respectively. The smaller transit time (minority carrier traverse more

speedily across the base) of HBT explains its substantial speed advantage in terms of

the increased Tf . For handset transceiver design where low power consumption is of

paramount importance, one can advantageously operate the SiGe HBT at a frequency

below the peak Tf with a significantly reduced bias current. This frequency-power

dissipation tradeoff is illustrated in Figure 1.13.

27

Figure 1.13 SiGe HBT, whose fT is inherently higher than that of silicon for the same bias

current, can trade off the excess speed to achieve a low-power solution.

Beside its speed advantage, HBT can also furnish a substantially higher current

gain (β ). It is because the bandgap reduction at the EB junction lowers the potential

barrier, so more electrons will be injected from emitter to base (or higher collector

current will result) for a given voltage bias. For applications (such as the handset TxIC

design) where high β is not particularly important, the process can tradeoff the HBT’s

excess β for lower base resistance ( br ) by doping the base region more heavily. This

would very advantageously lower the broadband noise of the device, and increase the

unity power-gain (or maximum oscillation) frequency, maxf according to

Tmax

bc b

ffC r

= (1.10)

The introduction of the graded SiGe alloy also increases the Early voltage ( AV )

of the resulting HBT. Physically, as the base profile is more heavily weighted towards

the collector region, base region becomes harder to deplete when the collector-base

28

voltage is increased. The higher AV translates to the higher output resistance of the

HBT, which is very beneficial for analog (or in our case, the mixed-signal part of the

TxIC) design.

The other key process issue for RF applications is the breakdown voltage of the

device, which influences the dynamic range of operation. The HBT device is

fundamentally limited by avalanche multiplication in the collector-base region [51].

Nevertheless, breakdown voltage of HBT is typically higher than that of the MOSFET

at a given Tf , which is caused by hot electron degradation of threshold voltage [52].

This makes HBT device attractive for the TxIC design, where a high output power

level is delivered.

1.3.2 IBM 6HP Process

The high-performance HBT is of little use for the wireless frontend space if the

process does not integrate a menu of high-quality passive elements and fine-geometry

CMOS transistors. The ideal technology, as well as the tool set that accompanying it,

must support building monolithic analog/ RF building blocks with the ultimate goal of

integrating the entire radio on a chip [52].

The BiCMOS 6HP process [46][53] is a versatile process integrating a 47 GHz

SiGe HBT with a 2.5 V, 0.25 μm (0.18 um effective gate length) CMOS base. Two

versions of HBT’s are incorporated: a standard high-speed (pedestal) device, and a

high (break-down) voltage device with a modified collector. Two versions of

29

complementary MOSFET devices are provided: a standard 2.5 V 0.25 μm FET (with 5

nm gate-oxide), and a high-voltage FET (3.3 V, with 7 nm gate-oxide) for use in I/O

circuits and analog designs. It offers five levels of metal for layout flexibility. In

addition, the process features a nitride dielectric for linear MiM capacitors [54] (with

high capacitance-to-area ratio), and a top thick (analog) metal for high Q spiral

inductors [55].

The substrate also plays a crucial role on the RF frontend design [52]. For our

TxIC design in particular, undesired spurious signals (such as digital switching noise,

or harmonics of LO) can capacitively couple into the conductive substrate and corrupt

the transmitter output. The 6HP process offers a deep trench structure, as well as the

conventional (p+/n-well) guard rings, for improved isolation.

A summary of 6HP process parameters is given in Table 1.4 [46]. To

demonstrate the degree of pervasiveness of the SiGe BiCMOS in the 3G WCDMA

TxIC space, we compare the technologies employed by the ten published TxIC works

in Table 1.5. Six out of the ten TxIC’s are implemented in various versions of SiGe. If

only commercial projects are considered (that is, [26]-[31],[35]), six out of seven chips

are SiGe BiCMOS. The overwhelming majority of SiGe BiCMOS implementation

clearly demonstrates the popularity of the process for handset transmitter frontend

applications.

30

Table 1.4 Summary of IBM’s 6HP SiGe BiCMOS process parameters.

SiGe HBT NPNs HIGH-SPEED DEVICE HIGH-VOLTAGE DEVICE

Beta 100 88

fT (Vcb=1V) 47 GHz 27 GHz

fmax 65 GHz 55 GHz

Early voltage 75 V 180 V

BVceo 3.35 V 5.4 V

FETs NFET 2.5 V PFET 2.5 V NFET 3.3 V PFET 3.3 V

Tox 5.0 nm 7.0 nm 5.0 nm 7.0 nm

Leff 0.18 μm 0.26 μm 0.18 μm 0.265 μm

IDsat 595 μA/ μm 580 μA/ μm 280 μA/ μm 285 μA/ μm

Capacitors

MOS Cap 3.10 fF/μm2

MiM Cap 0.70 fF/μm2

Resistors

Polysilicon 1 & 2 3600 Ω/ & 210 Ω/

Silicon 1 & 2 100 Ω/ & 63 Ω/

Spiral Inductors 0.28 - 83 nH, with outer dimension 100 – 450 μm

31

Table 1.5 List of process technologies employed by the published TxIC works

[26]-[35].

1.4 Dissertation Objectives and Organization

This dissertation presents an innovative SiGe BiCMOS transmitter IC for 3G

WCDMA handset applications. The two design objectives are (1) high level of

integration, (2) and low power consumption, as explained below:

Existing TxIC solutions commonly require external filters at the intermediate

frequency (IF) for spurious rejection [22]-[29]. While being a time-proven approach,

those off-chip components (for instance, IF SAW or LC tank) are bulky and

expensive. Their successful elimination would substantially reduce the feature size and

Institutions [ref.] Process Lithography (μm) Supply (V)

Mitsubishi [26] SiGe BiCMOS 0.5 3.0

IBM [27] SiGe BiCMOS 0.5 3.0

Mitsubishi [28] SiGe BiCMOS 0.25 3.0

TI [29] SiGe BiCMOS 0.3 2.7

Philips [30] BiCMOS 0.25 2.6 – 3.0

IBM [31] SiGe BiCMOS 0.25 2.85

Swiss ETH [32] CMOS 0.25 2.5

Seoul Nat. U. [33] CMOS 0.35 3.3

Swiss ETH [34] CMOS 0.13 1.5

Qualcomm [35] SiGe BiCMOS 0.4 2.7 – 3.0

32

cost of the final cell phone product. Therefore, it is obvious that a highly-integrated

TxIC is very desirable. However, one may question the necessity of a low-power TxIC

solution, especially in the presence of a presumably far more power-hungry PA. As

explained earlier, the WCDMA system features a wide dynamic range power control

function, to combat the “near-far” problem. Although the PA can consume a high

current at the peak output level, the power consumption drops substantially during the

power backoff mode (due to its Class AB bias) [56]. This is shown in Figure 1.14.

Moreover, at the highest probability output power, as shown by the 0 dBm point of

Figure 1.14, the PA can consume less power than a typical TxIC. This makes the TxIC

the major determinant of the overall average transmit power efficiency. As a result, a

carefully-designed low-power TxIC (as shown by the broken line in Figure 1.14) is

crucial to prolong the battery life.

Figure 1.14 Current consumption of PA and TxIC versus the transmitter output power,

and the output power probability distribution function. A poorly designed TxIC can

substantially reduce overall transmitter efficiency.

typical TxIC

PA

Pout (dBm)

0

1

2

3

4

5

-30 -20 -10 0 10 20 30 0

200

400

600

desired TxIC

Prob

abili

ty (%

)

Idc

(mA

)

CDMA Development Group (1997)

33

The highly-integrated low-power TxIC is achieved through a combination of

architecture and circuit innovations. The dissertation is organized as follows:

Chapter 2 presents the highly integrated TxIC architecture. We will begin with a

thorough review of the existing TxIC solutions to illustrate the issues faced by

WCDMA transmitter architecture design. We will then introduce the improved

transmitter architecture based on the digital IF scheme. Two key features (namely the

optimal frequency plan and the special-purpose high-order-hold D/A conversion) are

developed to enhance the level of integration and to reduce circuit complexity.

System-level simulation results will be produced to establish that the WCDMA

spurious-emission requirements are met with virtually no dedicated IF filters.

Chapter 3 describes the low-power TxIC circuits, which include the digital-to-

analog converter (DAC), the single-sideband (SSB) mixer, and the RF variable-gain

amplifier (RFVGA). The design techniques for the three subsystems will be explained

in detail. The DAC employs a capacitor divider network to simultaneously achieve

low-power consumption and high-speed conversion. The mixer and the amplifier

employ adaptive biases to minimize the quiescent power consumption and to provide

current boost only when needed. For each case, experimental results are furnished to

demonstrate the circuits’ performances and practicality.

Chapter 4 analyzes the linearity of the RF amplifier (of the previous chapter)

meticulously, using the Volterra technique. It will be shown that the amplifier’s

linearity (in terms of intermodulation distortion) can be dramatically improved by

34

optimally injecting the envelope signal (which is generated by the adaptive bias

control circuit) back into the main bias network. The analysis is confirmed by

comparing the theoretical predictions to simulation and experimental results.

Chapter 5 provides the measured results of the complete TxIC. Key system-level

performance metrics, such as spurious emissions, LO and sideband leakage, ACLR,

and EVM will be presented and discussed. The level of integration and the power

consumption of this work will be compared to other state-of-the-art solutions.

Chapter 6 concludes the dissertation. It summarizes the architecture and circuit

innovations of the WCDMA TxIC, and discusses the implications to future-generation

transmitter design. Future areas of research will also be suggested.

35

CHAPTER 2 Highly-Integrated TxIC Architecture

There is enormous pressure to reduce the size, cost and power consumption of mobile

phones, as these qualities are strongly correlated to customer satisfaction. While the

digital circuits have experienced tremendous power saving and enhanced

functionalities with the progress of deep sub-micron processes, the analog/ RF

sections remain the bottleneck. In this chapter, we focus on an improved WCDMA

transmitter IC architecture for handset applications.

Existing TxIC solutions commonly require external filters at the intermediate

frequency (IF) for rejection of spurious components [22]-[29]. While being a time-

proven approach, those off-chip components (for instance, IF SAW and LC tank) are

bulky and expensive. They substantially increase the feature size and cost of the final

cell phone product.

TxIC solutions available today tend to be complicated. This is mainly due to the

heterodyne architecture [22]-[29], which demands two pairs of analog/ RF mixers and

synthesizers. Furthermore, the power consumption can be substantially driven up if an

active IF filter is integrated [30].

36

A highly-integrated, simple and low-power WCDMA TxIC solution for mobile

station applications is proposed. This is achieved through a novel architecture which

alleviates some of the analog circuit complexities by high-speed digital signal

processing. We believe this is an appealing technological direction because the

resulting TxIC solution can then take full advantage of the rapid advancement of fine-

geometry IC technologies.

To begin with, existing TxIC architecture solutions developed by both the

industry and the academia will be reviewed. This is to illustrate the issues faced by

WCDMA transmitter architecture design. Then, we will introduce the improved

transmitter architecture based on the digital IF scheme. The design innovations

developed to enhance the level of integration and to reduce circuit complexity will be

discussed in detail. System level simulations on the spurious emission will be

presented, which is followed by concluding remarks.

2.1 Survey of TxIC Architectures for WCDMA Handsets

A list of published WCDMA handset transmitter designs [26]-[35] is shown in Table

2.1. The architectures of the TxIC’s fall into two camps: the heterodyne or the

homodyne. Their relative strengths and weaknesses are discussed below.

2.1.1 Heterodyne Transmitter Architecture

The majority of commercial WCDMA TxIC’s are heterodyne [26]-[31], performing

up-conversion in 2 steps similar to that shown in Figure 2.1. Baseband data are first

37

up-converted by quadrature modulation to the intermediate frequency, typically at

hundreds of MHz. The in-phase (I) and the quadrature-phase (Q) signals are then

summed and further up-converted to the desired transmit channel by a single-sideband

(SSB) mixer.

Table 2.1 Comparison of WCDMA TxIC Architecture.

Expected EVM performance under: Company/

Institution [ref.] Architecture External

IF/RF filter

needed?

Num. of analog

mix/ syn needed?

I/Q mismatch

LO leakage

Mitsubishi [26] Y / Y 2 / 2 Good Good

IBM [27] Y / Y 2 / 2 Good Good

Mitsubishi [28] Y / Y 2 / 2 Good Good

TI [29]

Heterodyne

Y / N 2 / 2 Good Good

Philips [30] N / N 2 / 1 Fair Good

IBM [31] Hetero. var. IF

N / N 2 / 1 Fair Good

Swiss ETH [32] N / N 1 / 1 Bad Bad

Seoul Nat. U. [33] N / N 1 / 1 Bad Bad

Swiss ETH [34] N / N 1 / 1 Bad Good

Qualcomm [35]

Homodyne

N / N 1 / 1 Bad Good

This work Hetero. dig. IF N / N 1 / 1 Ideal Good

38

Figure 2.1 Block diagram of a conventional heterodyne transmitter.

Among the heterodyne TxIC’s reported, different levels of transmitter functions

are integrated. The designs of [22]-[25] include the IF quadrature modulator only,

while the chips of [26]-[31] have both the IF and RF up-conversion sections

integrated. External RF SAW filters (following the RF up-conversion) are required in

the TxIC’s of [26]-[28] as no on-chip LC filtering [29] or SSB mixer [30] are featured.

Some of the TxIC’s also distinguish themselves by integrating the synthesizer

[22][24][25],[28]-[30]or the reconstruction filter for D/A conversion [22].

The heterodyne architecture offers many advantages. Since the frequencies of

the local oscillators (LO’s) are far from the final transmit signal, injection locking [57]

(i.e., the LO shifts towards the frequency of the noise injected by the strong power

amplifier output) can be avoided. Also, the somewhat inevitable LO leakage would

not degrade the error vector magnitude (EVM) performance because it does not

overlap with the transmit signal spectrum. I and Q matching is superior (if careful

design and layout practices are employed) because quadrature modulation is

performed at lower (intermediate) frequencies [12]. But most importantly, the very

wide gain control range of 74 dB mandated by the WCDMA standard [39] can be

LO2 RF VGA

I

Q

DAC

DAC LPF

LO1 90o Σ

BPF

IF VGA

SSB LPF

39

readily implemented despite of the limited substrate isolation. (In fact, to provide

adequate design margin for process, supply and temperature variations, it is not

uncommon to find more than 90 dB of nominal dynamic range in TxIC solutions as

shown in Table 1.3). The last point is explained below.

Signal isolation on a silicon substrate can be as low as 40-50 dB at radio

frequencies (RF) [58]-[59], and it is impossible for a variable gain amplifier (VGA) to

attenuate beyond the level of isolation. For example, an RF VGA circuit may attenuate

its input by, say, 60 dB. The input signal, however, can appear at the output (reduced

only by 40 dB of isolation) directly through the substrate, thus inundating the desired

output. Therefore, substrate isolation dictates the maximum achievable VGA

attenuation. It is clear that the gain control mandated for WCDMA transmitters cannot

be carried out solely at RF.

The heterodyne architecture overcomes the substrate isolation problem by

effectively distributing the total gain range amongst two separate frequency bands (IF

and RF). As such, the RF VGA can be designed to cover a much smaller gain control

range (so that substrate isolation is no longer an issue), while the rest of the gain

control can be attributed to the IF VGA (which generally experiences less severe

signal coupling problem because of the lower frequency of operation).

However, the heterodyne architecture is not without drawbacks. It often

demands external IF filters to remove the spurious responses. These off-chip

components would substantially increase the size and cost of the chipset. They also

40

pose reliability issues as high-frequency signals (in the 100’s of MHz range) must now

travel off-chip.

Two approaches have been attempted to eliminate these external passive

components. The first design [30] employs an active IF poly-phase filter. As shown in

Figure 2.2(a), the IF section is fully complex. That is, the I and the Q signals will not

be summed until they have been up-converted to RF. We believe that this architecture

is more vulnerable to mismatch issues than other conventional heterodyne

implementations because of the extended I/Q paths. Besides, the high-Q IF bandpass

filter function demands ultra-wideband opamps (with open loop gain bandwidth

product of 11.3 GHz). The design is non-trivial, and may noticeably increase the

overall power budget.

On the other hand, the design of [31] eliminates the need of the off-chip IF filter

by adopting a meticulous frequency planning scheme. It is shown in Figure 2.2(b).

Local oscillator frequencies are carefully selected so that they do not have a direct

harmonic or sub-harmonic relation to the RF output frequency. Together with good

circuit linearity and quadrature balance, the copious spurs resulting from the IF and

RF up-conversions can pass the WCDMA spurious specifications with very little

amount of on-chip filtering (by, say, LC tanks). The final TxIC solution requires only

an absolute minimum of external filtering (namely one SAW filter between the TxIC

and the power amplifier, and an antenna duplexer filter). However, we believe that this

architecture is also more susceptible to I/Q mismatch problem, as will be discussed

soon.

41

Figure 2.2 Two variable-IF heterodyne architectures which eliminate the external IF

filter by (a) implementing a complex-IF filter, and (b) adopting a frequency planning

scheme.

The second drawback of the conventional heterodyne architecture is that two

synthesizers (IF and RF) are needed [26]-[29], resulting in relatively complicated and

high dc power designs. The “complex-IF” and the “minimum-filtering” designs of

[30]-[31] both mitigate this problem by employing a “variable IF” architecture, in

which both stages of up-conversion mixers are driven by a common synthesizer. The

LO2 RF

I

Q

LO1 Σ

BPF

BPF

1/2 1/36

IF ~ 100 MHz

synthesizer (LO)

(a)

LO2

RF Σ BPFon-chip

BPFon-chip

1/4 1/3

synthesizer (LO)

IF ~ 800 MHz I

Q LO1

(b)

42

mixer frequencies (i.e., LO1 and LO2 of Figure 2.2) are harmonically related to some

higher frequency local-oscillator input (LO), so that

1 2

1 2 ch

k LO l LO LOLO LO f

⋅ = ⋅ =+ =

(2.1)

where the parameters k and l are integers. As such, the mixer frequencies will move

together as a different channel frequency (fch) is desired.

In the design of [30], the parameters, k and l, are 36 and 2, respectively. As the

WCDMA transmit channel is between 1920 to 1950 MHz, the intermediate frequency

(i.e., LO1) would be around 100 MHz. This is considered a low frequency, for which

the circuit design (in particular, the quadrature modulator design) is relatively simple.

But for [31], in order to satisfy the spurious requirements, the parameters are chosen to

be 4 and 3 respectively. This moves the intermediate frequency in excess of 800 MHz.

In comparison, the quadrature modulator is likely to be more sensitive to circuit

parasitics and I/Q imbalances, and would consume more power.

2.1.2 Homodyne Transmitter Architecture

On the other hand, if the baseband I/Q signals are up-converted to the RF directly, the

above problems (namely the external SAW filter and multiple synthesizers) could be

avoided. The so-called homodyne architecture is shown in Figure 2.3. Obviously, it

demands no IF filtering, and it requires only one synthesizer. Therefore, this

architecture lends itself very efficiently for single-chip integration [32]-[35]. To avoid

43

LO-pulling by the power amplifier output, a classical problem in direct-conversion

transmitter, a divider circuit is employed [32].

Figure 2.3 Block diagram of a typical homodyne transmitter.

Nevertheless, the homodyne transmitter suffers serious performance issues

(namely the gain control, I/Q matching and LO leakage) [12][60] not experienced by

its heterodyne counterpart, as will be explained below.

Notice that due to the limited substrate isolation discussed earlier, most of the

WCDMA gain control must now be implemented at the baseband (dc) [12] as shown

in Figure 2.3. For instance, the design of [32] achieves its entire gain programmability

at the baseband: 30 dB of dynamic range at the reconstruction (D/A) filter, and 48 dB

at the modulator (I-to-V) input. In the IC example of [33], the baseband VGA alone

handles 35 dB of the 50 dB total transmitter dynamic range. Because of their much

wider gain programmability, these baseband components often have more stringent

linearity requirements than their heterodyne counterparts.

I

Q RF VGA

DAC

DAC LPF

LO

90o Σ

LPF

BasebandVGA ÷ 2

44

Since a substantial amount of gain control must now be applied separately to the

I and the Q (baseband) signals before they are summed, and the quadrature modulator

operates at much higher (radio) frequencies, I/Q mismatch is going to be non-

negligible. (In contrast, the heterodyne transmitter of Figure 2.1 assumes a sum-

before-gain approach at IF. Therefore, far less I/Q mismatch will be experienced.) The

sideband rejection, or the related EVM1 performance, is determined by the mismatch

parameters according to [61]:

2 2

10Δ Δθ20

2AEVM log +

≈ ⋅ (2.2)

where ΔA is the magnitude mismatch in percentage, and Δθ denotes the phase

mismatch in radians. We assume that Δθ can be as high as 2o at the RF quadrature

modulator. Then, according to (2.2), a magnitude mismatch as small as 3 % will

degrade an otherwise ideal EVM to the unacceptable level of -30 dB (3.3 %). Notice

that for a gain of -40 dB, a 3 % mismatch translates to a gain difference between 0.01

V/V to 0.0103 V/V. This matching accuracy is deemed difficult even with very good

design and layout practice.

LO leakage (to the RF port) is caused by direct substrate coupling or the

baseband and modulator circuits dc offset. It is particularly troublesome for the

1 The EVM performance is dominated by the noise floor, sideband suppression and carrier leakage

characteristics of the I/Q modulator at low output power levels. The total EVM performance is specified

to be less than 17.5 % [39]. To allow large margin to account for power amplifier distortion, it is

45

homodyne transmitter because the LO always lies in the transmit band. It can severely

degrade the EVM performance especially if the baseband section is set into the low

gain mode. For instance, assume that the baseband VGA attenuates the 1 V DAC

output (by 40 dB) into 10 mV, and the LO signal measures 200 mV. A substrate

coupling as low as -50 dB (or, to the same effect, a dc offset as small as 0.6 mV) will

degrade the otherwise ideal EVM to about -24 dB (or 6.3 %), which is not acceptable.

This simple example highlights the very challenging LO-RF isolation and circuit

offset requirements.

To overcome the issue of LO leakage, the homodyne transmitter of [34] features

a carrier leakage cancellation loop, while the design of [35] implements a meticulous

gain partitioning and a variable LO (reduced LO for small signals).

In summary, an ideal transmitter should be one that exhibits the architectural

simplicity of the homodyne (that is, it demands no external IF filter and only one

synthesizer), but inherits the performance advantages of the heterodyne (that is, it

provides superior I/Q matching and produces little LO leakage for good EVM

performance). The WCDMA transmitter to be presented below is a unique attempt to

simultaneously satisfy these goals.

In this work, we propose an improved heterodyne transmitter IC (TxIC)

architecture that leverages the rapid technology advancement in CMOS by

important to ensure that the carrier leakage and sideband suppression of the TxIC should exceed 35 dBc

[31].

46

implementing the IF up-conversion digitally. By means of a simple digital quadrature

modulator, a careful frequency planning, and a second-order-hold D/A converter, our

architecture (a) eliminates the external IF filter, (b) demands only one synthesizer, (c)

employs only one RF (single-sideband) mixer, and (d) achieves inherently perfect

quadrature I/Q matching (for good EVM performance). In short, our TxIC inherits the

advantages of the homodyne architecture without suffering the accompanying

performance degradations.

2.2 Digital-IF Transmitter Architecture

2.2.1 Architecture Overview

Figure 2.4 shows the proposed digital-IF heterodyne transmitter architecture. Digital

data (with chip rate, fchip, equals 3.84 MHz) are up-sampled (interpolated), filtered,

multiplied with the quadrature LO’s, and then summed together before they reach the

digital-to-analog converter (DAC). As such, the DAC should be designed to handle

the (much faster) IF signal, although only one DAC is needed (instead of two, see

Figure 2.1).

Figure 2.4 Heterodyne transmitter with digital IF modulator.

{1,0,-1,0,…}

I

Q

DAC Σ

LO2 IF VGA RF VGA

SSB LPF L

LPF

LPF {0,1,0,-1,…}

“SOH DAC”

fclk

fIF

fchip

L

47

This solution demands only one RF synthesizer and mixer to complete the up-

conversion. As the digital boundary is moved closer to the antenna, this architecture

will take full advantage of silicon technology scaling. Furthermore, since modulation

is performed digitally, and there are no separate analog baseband I/Q paths, near-ideal

I/Q matching and enhanced EVM performance will result2 [62]. LO leakage is a

relatively minor issue here, as it will not overlap with the transmit channel. Moreover,

ac coupling can be routinely applied to cancel any dc offset on the analog circuits (as

there is no signal content at dc).

Despite these well-known advantages, traditional digital-IF approaches usually

exhibit high power dissipation, and are better suited to base-station applications. To

fully realize the potential of the digital-IF architecture for the WCDMA handset

applications, and achieve our objectives stated earlier, we are proposing several design

features, which will be discussed next.

2.2.2 Digital Quadrature Modulator

In general, the digital modulator demands numerical oscillators and full function N-bit

multipliers, resulting in a complicated and power-hungry design. However, it can be

significantly simplified if we impose:

2 In the single-sideband (SSB) mixer, a 90o phase shifter will act on the single analog input and generate

two quadrature signals. The inevitable I/Q mismatches of the circuit would result in a residual

(imperfectly rejected) sideband. It would not, however, impact the EVM performance of the desired

transmit channel.

48

4IF clkf f= (2.3)

That is, if the intermediate frequency ( IFf ) is to be a quarter of the DAC clock rate

( clkf ), the LO signals can be completely represented by values of +1, 0 or -1.

Therefore, the digital modulator is a trivial sign-bit-flipping logic3, thus eliminating

the need for a direct digital synthesis (DDS) or a general digital multiplier. This idea

has been known and practiced in the industry to lower the power budget and the

design complexity of the modulator considerably.

Under this scheme, we do not have freedom to choose the frequency (or the

phase) of the LO signals once the DAC clock rate is determined. However, for the

mobile phone applications, this is not an issue at all. This is because only one channel

is transmitted per station at a time, and the RF mixer with its variable LO (i.e. LO2 of

Figure 2.4) will subsequently up-convert the IF signal to any desired channel

frequency.

2.2.3 Problem of Reconstruction (IF) Filtering

In a digital-to-analog conversion system, repeating IF spectra would appear around the

multiples of the clock frequency. These “digital images” would occupy frequencies of

clk IFf f± , 2 clk IFf f± , and 3 clk IFf f± , etc. To prevent them from interfering with other

3 In fact, the quadrature LO signals can be equivalently represented by sequences of {+1,+1,-1,-

1,+1,+1,…} and {-1,+1,+1,-1,-1,+1,…}. Therefore, multiplication is simply accomplished by inverting

the sign bits of every two consecutive input baseband data.

49

sensitive frequency bands, and to meet the spurious emissions requirements, lowpass

(reconstruction) filtering is required following the DAC.

Although the condition imposed in (2.3) allows easy digital modulator design,

the reconstruction filtering can become difficult due to the low oversampling ratio

(OSR = ( )2 2clk IFf f = ). The DAC digital images will appear very close in frequency

to the desired signal. If they are to be sufficiently attenuated on-chip, a high-order

linear-phase automatically-tuned filter is necessary. To appreciate this problem in our

WCDMA mobile phone environment, where the transmit (Tx) band is between 1920

to 1980 MHz and the receive (Rx) band 2110 to 2170 MHz, we consider two

scenarios. The discussion will subsequently lead us to choosing an optimal IF (thus the

DAC clock speed and the interpolation factor L) for easy reconstruction filter design.

Case 1: If an interpolation factor of 16 (L=16) is chosen, the DAC clock will be

running at 3 84 16 61 44. .× = MHz, giving an IF of 15.36 MHz. For a Tx channel

located at, say, 1940 MHz, the first image will also appear in the Tx band. This

is shown in Figure 2.5(a). To ensure 55 dB of image attenuation at Tx band, and

a level of phase linearity yielding -42 dB EVM, a 5th-order Butterworth lowpass

filter with a 18 MHz cutoff frequency is demanded. While such a design is not

technically prohibitive, a fully monolithic version of the filter is certainly non-

trivial and should be avoided if possible.

Case 2: If the interpolation factor is chosen to be 32, the DAC clock rate is

122.88 MHz, and the intermediate frequency is 30.72 MHz. The Tx spectrum is

50

shown in Figure 2.5(b). Here, although no image falls into the Tx band, the

image in the Rx band still needs to be sufficiently filtered. To achieve 61dB of

attenuation with -42dB of EVM performance, a 4th-order Butterworth lowpass

filter with 40 MHz cutoff frequency is required. Despite its lower order, this

filter design is no simpler because of the higher cutoff frequency.

Figure 2.5 Locations of digital images when (a) L = 16, and (b) L = 32. The “black”

signal is the desired signal and the “white” are the digital images.

Recently, high-speed active filters have received a lot of research attention, and

very good results in terms of power consumption and performance have been reported

[63]. In this work, however, we adopt an alternative design approach. Instead of

building a sophisticated filter for reconstruction, we derive ways to make the task of

reconstruction filtering much easier. This goal is to be achieved by (a) performing

optimized frequency planning, and (b) employing a high-order-hold DAC. Both will

1920 1980

Tx band Rx band

2110 2170 f (MHz)

sin(x)/x rolloff images

channel

1980 f (MHz) 1920

Tx band Rx band

2110 2170

channel images sin(x)/x rolloff

(a)

(b)

51

be discussed below. We believe our design paradigm is practical and has good

potential for realizing an overall simple and low-power digital-IF up-converter

solution.

2.2.4 Frequency Planning Scheme

If the clock frequency is strategically selected so that the DAC images will appear out

of the frequency bands of interest, the filter requirement could be substantially

relaxed. Our goal is to make sure that no DAC images will land into the sensitive

Transmit and Receive bands for all transmit channel locations. This can be met if the

Rx band is always between the 1st and the 2nd images for all channel locations, as

shown in Figure 2.6. Notice that after RF up-conversion, the 1st and the 2nd images are

given by,

1

2

2imag ch clk

imag ch clk

f f f

f f f

= +

= + (2.4)

where chf denotes the channel location, which is between 1920 to 1980 MHz (Tx

band). To ensure that the 1st image is always below the lower edge of the Rx band, we

can write

2 2110

2110 1980 2260

ch clk

clk

clk

f ff ( )f (MHz)

+ << − ×<

(2.5)

Similarly, to ensure that the 2nd image is always above the upper edge of the Rx band,

we can write

52

Figure 2.6 Frequency planning illustration: locations of images when the channel is at (a)

the lower or (b) the upper edge of the WCDMA Tx band.

21702170 1920250

ch clk

clk

clk

f fff (MHz)

+ >> −>

(2.6)

Combining the results found in (2.5) and (2.6), we arrive at

250 260clkf ( MHz )< < (2.7)

In summary, if the clock rate is set to be between 250 to 260 MHz, no digital

images will land into the Tx or the Rx bands. This can be achieved by choosing an

integer up-sampling ratio (L) of 66. The DAC clock and the IF frequencies are 253.4

and 63.4 MHz, respectively. A second-order filter will be sufficient to reject the digital

images and meet the spurious emission requirements.

rejected sideband

1920 1980

WCDMA Tx WCDMA Rx

2110 2170 f (MHz)

1st image channel

2nd image LO

1920 1980 2110 2170

1st image 2nd image

f (MHz)

channel

(a)

(b)

53

This relaxed filter requirement is achieved at the expense of a high clock rate—

the last stage of the baseband digital logic, as well as the DAC, are running in the

excess of 250 MHz. The dynamic (digital) power consumption can be high. However,

with the advancement of fine-geometry CMOS processes, this power consumption is

being driven down very rapidly. Therefore, we believe it is a reasonable technology

direction to trade off analog filter complexity with faster digital clock speed.

2.2.5 High-Order-Hold DAC

As the second part of our solution to address the reconstruction filter problem, we

derive a DAC which “avoids” generating images in the first place.

A conventional DAC produces the analog waveform by converting the digital

“sample” into an analog voltage, and “holding” it for one clock period until the next

sampling instance. Such a sample-and-hold (S/H) waveform will exhibit repeating

digital spectrum with the familiar sin( x ) x (sinc) rolloff, as shown in Figure 2.7(a).

This is also known as zero-order-hold (ZOH) in the signal processing literature.

54

Figure 2.7 Transient waveforms of (a) S/H DAC and (b) FOH DAC, and (c) their

corresponding spectrum rolloffs.

The energy of images can be greatly reduced if the DAC output waveform is

less abrupt than the staircase shown above. Instead of performing a S/H, the DAC

could connect the voltage samples by straight lines like a ramp as shown in Figure

2.7(b). It performs what is commonly known as “first-order-hold” (FOH)

reconstruction. The DAC produces ( )( )2sin x x (sinc squared) spectrum where

images roll off much faster as shown in Figure 2.7(c).

The circuit implementation of the FOH DAC is very straightforward. First, a

current is generated which is proportional to the difference between two consecutive

(a)

(b)

voltage samples

analog waveform

DAC waveform

1 2 3 4 -80

-40

0

[sin(x)/x]2

sin(x)/x

f / fclk

Spec

trum

(dB

) (a)

(b)

(c)

55

input digital codes (digital differentiation). Second, the current is pumped into a

capacitor to perform the I-to-V conversion (analog integration). As such, the capacitor

voltage will ramp up, effectively connecting one analog sample to the next. The

implementation of a FOH DAC is in fact very comparable to that of a standard S/H

current-steering DAC, as demonstrated in Table 2.2.

Table 2.2 Comparison between the conventional S/H (ZOH) DAC and the FOH

DAC.

Based on our intuitive understanding of the FOH DAC circuit implementation,

we can represent its signal processing in Figure 2.8(a), in which a digital differentiator

( 11 z−− ) is followed by an analog integrator4, ( )1 T dt∫ (where T is the clock period).

4 The FOH DAC signal processing suffers a “singularity” at dc. Infinite attenuation of the differentiator

is met by the infinite amplification of the integrator. However, this poses no problem to our application

S/H DAC FOH DAC

Current (I)

generation

Proportional to the

input digital codes

Proportional to the

difference between 2

consecutive input

digital codes

Load Resistor (R) Capacitor (C)

Voltage output (V) V IR= 1V ( I )dtC= ∫

Waveform Zero-order-hold First-order-hold

Spectrum sin( x ) x rolloff ( )2sin( x ) x rolloff

56

Essentially, the cascade of the digital differentiator and the analog integrator will turn

the ZOH (square) pulse of oh ( t ) into a FOH (triangular) pulse of 1h ( t ) . The Laplace

transform of a square pulse oh ( t ) [64] is given by

2ω 2ωω 2

j(ωT )o

sin( T )H ( ) T eT

−⎡ ⎤= ⋅ ⋅⎢ ⎥

⎣ ⎦ (2.8)

Figure 2.8 Signal processing of (a) a FOH DAC and (b) a Kth-order hold DAC.

Referring to Figure 2.8(a), the Laplace transform of the triangular pulse 1h ( t ) can be

written as

ω1

2 ω

1ω 1 ωω

ω 2ω 2

j To

j T

H ( ) ( e ) H ( )j T

sin( T )T [ ] eT

= − ⋅ ⋅

= ⋅ ⋅ (2.9)

because the (IF) signal is bandpass in nature. We only need to avoid dc offset from saturating the

integrator by performing a damped integration or a simple ac coupling.

(a)

(b)

T

1– z -1 ∫⋅ dtT1

h1(t)

t

1

2T

ho(t)

t

1

T

(1– z -1)K ∫ ∫⋅ KK

dtT

)(..1

hK(t)

t

1

(K+1)T

ho(t)

t

1

T

57

As shown in (2.9), the final FOH DAC waveform will exhibit a spectrum with

( )2sin( x ) x rolloff.

The previous ZOH to FOH transformation can be generalized to realize any

high-order-hold DAC. If we cascade K digital differentiators with K analog integrators

as shown in Figure 2.8(b), we can turn a ZOH pulse into a Kth-order-hold pulse, i.e.

ω

1 1 ω 2

1 1ω 1 ωω

ω 2ω 2

j T KK oK K

K j( K ) T

H ( ) ( e ) H ( )T ( j )

sin( T )T [ ] eT

+ − +

= − ⋅ ⋅ ⋅

= ⋅ ⋅ (2.10)

Therefore, the Kth-order-hold DAC will exhibit ( )( ) 1Ksin x x

+ rolloff. To the extreme,

when K is high, the digital images will be so small in the DAC output spectrum, and

the DAC time-domain waveform will resemble the “true” (very smooth) analog signal

very well.

Figure 2.9 illustrates how the output waveforms look like for the ZOH, the FOH,

and the second-order-hold (SOH, K=2) DAC’s. Notice that the three DAC’s produce

the same voltages at the sampling instances (after proper time alignment as they have

different phase shifts). It is obvious that the higher the order, the smoother the DAC

waveform. As will be illustrated shortly, a SOH DAC will be implemented in the

digital-IF transmitter architecture to provide good spurious emission characteristics

with minimum amount of hardware requirement.

58

Figure 2.9 Output waveforms of the (a) ZOH, (b) FOH, and (c) SOH DAC.

2.2.6 Pulse-Shaping and Interpolation Filters

As discussed in Section 2.2.4, an optimal interpolation ratio (L) of 66 will be

implemented to substantially alleviate the task of reconstruction filtering. This sample

rate conversion will be undertaken by three stages of integer-ratio up-samplers,

namely (a) a 2x root raised cosine (RRC) pulse-shaping filter, (b) a 3x interpolator

with comb filtering, and finally, (c) a 11x interpolator with comb filtering.

The WCDMA standard specifies a RRC filter of 0.22 roll-off factor in the

transmitter [39]. It shapes each pulse in the data sequence such that the overall

response of the communication system (which includes another RRC filter at the

receiver) at any given sampling instant is zero, except for the current symbol. This

fulfills the Nyquist criterion, in which there would be no inter-symbol interference

[18]. An up-sampling ratio of two is assumed, raising the chip rate of 3.84 MHz to the

sample rate of 7.68 MHz. For practical purposes, a finite-time response is assumed for

56 56.1 56.2 56.3 56.4 56.5 56.6 56.7 56.8 56.9 57−0.4

−0.3

−0.2

−0.1

0

0.1

0.2

0.3

0.4

time in us

DA

C o

utp

ut

in V

(a)

(b)

(c)

59

the RRC filter. By building the RRC filter using a 17-tap FIR structure, it comfortably

satisfies the spectrum emission mask requirement as will be demonstrated shortly.

Simulation reveals that better than 40 dB (less than 1 %) of EVM is achieved. This

leaves ample safety margin for other circuit impairments to meet the overall EVM

target of 17.5 %.

The interpolation filter to be designed following the RRC filter will have the

biggest impact on the adjacent channel leakage power ratio (ACLR) performance. The

standard calls for a minimum of -33 and -43 dB of ACLR at 5 and 10 MHz offset

frequency from the carrier as discussed in Section 1.2.2. To achieve good rejection

properties with the simplest hardware possible, the lower-ratio (3x) up-sampler,

instead of the higher-ratio (11x) one, will be implemented first. The data rate will be

increased to 23.04 MHz, which is still a relatively low frequency where digital

operations can be accomplished with low power consumption and circuit complexity.

The 3x up-sampler inserts two zero-valued samples between two consecutive

original samples, creating a copy of the original signal spectrum at 7.68 MHz (one

third of the final clock rate of 23.04 MHz). This replica needs to be sufficiently

attenuated by a linear lowpass filter for meeting the ACLR requirements. This will be

accomplished by a comb filter. The filter transfer function, in its general form, is given

by

1

11

NLzH( z )z

⎛ ⎞−= ⎜ ⎟−⎝ ⎠

(2.11)

60

where N and L are the filter order and the up-sampling ratio, respectively. The

frequency response is found by substituting ωj Tz e= . This filter is particularly

efficient in rejecting the spectrum replica because of its zeroes locations:

1zero clknf f , where n 1, 2 , ..., L -L

= ⋅ = (2.12)

These zeroes appear exactly at frequencies where the spectrum repeats itself.

The transfer functions (L = 3, with N = 3 to 6) of the lowpass comb filter

following the 3x up-sampling are shown in Figure 2.10(a). Worst-case attenuation is

located at about 6 MHz, which is found by subtracting the signal bandwidth

( ( )1 22 2chip% ( f / )− ⋅ = 1.5 MHz) from the replica frequency (7.68 MHz). We are to

design better than 15 dB margin to the minimum ACLR requirement mentioned

earlier. The fifth-order filter function is chosen, which provides close to 50 dB of

worst-case attenuation. The filtered spectrum is shown in Figure 2.10(b).

61

Figure 2.10 (a) Magnitude responses of the comb filter of order 3 to 6, and (b) the

filtered 3x-upsampled spectrum. (fclk = 23.04 MHz).

Following a similar analysis, the order of the comb filter following the 11x

interpolation is chosen to be three. This gives a worst-case attenuation of about 65 dB.

Figure 2.11 displays the 11x up-sampled signal spectrum after the comb filter. The

lower filter order is particularly advantageous from a power perspective because the

comb filter has to operate at the peak speed (i.e., 253.44 MHz) of the digital IF system.

0 2 4 6 8 10−80

−70

−60

−50

−40

−30

−20

−10

0

10

freq in MHz, dc to Nyquist

mag

nit

ud

e re

spo

nse

in d

B

N=3

N=6

4

5

worst−caseattenuation

0 2 4 6 8 10−80

−70

−60

−50

−40

−30

−20

−10

0

10

freq in MHz, dc to Nyquist

Filtered with 5th−order comb filter

no

rmal

ized

sp

ectr

um

in d

B

~50 dB of attenuation

(a)

(b)

62

Figure 2.11 Spectrum of the 11x up-sampled signal after the 3rd-order comb filter (fclk =

253.44 MHz).

The two comb filters (where L = 3 and 11 for the 3x and 11x interpolations,

respectively) can be efficiently implemented as shown in Figure 2.12. The

differentiators ( 11 z−− ) are implemented prior to the up-sampler, which is then

followed by the integrators ( 11 1( z )−− ). The differentiator circuits can take advantage

of the lower clock speed and consume less power.

Figure 2.12 An efficient implementation of a Nth-order comb lowpass filter for an L-times

interpolation.

The up-sampled I and Q baseband data at 253.44 MHz will be multiplied with

running 1± ’s to perform the IF up-conversion. (As discussed in Section 2.2.2, this is

L )(zX

NLL

zzzX ⎟⎟

⎞⎜⎜⎝

⎛−−

⋅ −

111)(

( ) )(1 LNL zXz ⋅− −( ) )(1 1 zXz N⋅− −

( )Nz 11 −−N

z⎟⎠⎞

⎜⎝⎛

− −111

0 20 40 60 80 100 120−120

−100

−80

−60

−40

−20

0

freq in MHz, dc to Nyquist

no

rmal

ized

sp

ectr

um

in d

B

~65 dB of attenuation

63

equivalent to a sign-bit-flipping operation.) After the I and the Q data summation, the

digital IF signal is achieved. Figure 2.13(a) displays the digital IF spectrum, while

Figure 2.13(b) overlaps it with the spectrum emission mask5 requirement in dBc over

the respective measurement bandwidth. Adequate design margin is included to

account for the distortions introduced by the subsequent analog/ RF portion of the

TxIC and the power amplifier.

Figure 2.13 (a) Spectrum of the digital-IF signal, and (b) the corresponding spectrum

expressed in dBc over the respective measurement bandwidth.

5 The spectrum emission mask applies to frequencies between 2.5 to 12.5 MHz away from the center

(a)

(b)

55 60 65 70 75−80

−70

−60

−50

−40

−30

−20

−10

0

freq in MHz

no

rmal

ized

sp

ectr

um

in d

B

55 60 65 70 75−120

−100

−80

−60

−40

−20

0measurement BW = 1MHz 30kHz 3.84MHz 30kHz 1MHz

spectrum emission mask

simulated dig. IF spectrum

freq in MHz

no

rmal

ized

sp

ectr

um

in d

Bc/

BW

64

Finally, we will investigate the resolution requirement for the digital system.

The signal-to-noise ratio (SNR) of an N-bit quantization is generally given by [65]

10 10 106 02 10 3 10 10SNR . N log ( ) log ( PAR ) log ( OSR )= ⋅ + ⋅ − ⋅ + ⋅ (2.13)

where PAR and OSR are the peak-to-average ratio and the oversampling ratio,

respectively. WCDMA signals can exhibit PAR as high as 4.5 (6.5 dB), while the

OSR, which is given by the ratio of the Nyquist frequency (126.7 MHz) to the signal

bandwidth (5 MHz) is about 25 in our system. To meet an EVM (i.e., –SNR) of -40

dB, a mere 5-bit resolution would be sufficient according to (2.13).

On the other hand, the spectrum emission mask requirement poses a more

limiting condition to determine the system resolution. Figure 2.14 shows the spectrum

resulting from 5-bit quantization. It is dangerously close to the spectrum mask around

the 2.5 to 3.5 MHz offset frequencies (that is, from 65.86 to 66.86 MHz). The ACLR

at 5 MHz adjacent channel is only 37 dB, which is only 4 dB above the absolute

minimum requirement. This imposes unrealistically high linearity requirement on the

subsequent TxIC analog/ RF components and the power amplifier. On the other hand,

when 8-bit of resolution is used, as is the case shown in Figure 2.13(b) and also in

Figure 2.14 (the broken line), the specification can be met with good margin. The

ACLR at 5 MHz goes up to the more comfortable level of 48 dB, or 15 dB above the

requirement.

carrier frequency (which translates to the IF of 63.36 MHz in the example of Figure 2.13). The

specifications have been described in Section 1.2.2.

65

Figure 2.14 Spectrum of the digital-IF signal in dBc over measurement bandwidth with

5-bit or 8-bit of resolution.

2.2.7 Summary of the Transmitter Architecture

Figure 2.15 shows the block diagram of the final transmitter architecture with all the

design parameters as described earlier. The SOH DAC is selected to provide a

( )( )3sin x x spectrum for high image rolloff6. It is composed of two digital

differentiators and two continuous-time integrators in cascade. The two analog

integrators are naturally incorporated into the DAC core and the IF variable gain

amplifier (IFVGA). No dedicated reconstruction filter circuit is needed.

6 An inverse (sin(x)/x)3 digital filter (not shown in Figure 2.15) is needed to compensate for the in-

channel distortion of the baseband signals, otherwise degraded EVM will result. While more

complicated than a conventional inverse (sin(x)/x) filter, it is still straightforward to implement because

the channel bandwidth (5 MHz) is narrow compared to the clock rate (253.4 MHz).

64 64.5 65 65.5 66 66.5 67 67.5−90

−80

−70

−60

−50

−40

−30

−20

−10

0

10

freq in MHz

no

rmal

ized

sp

ectr

um

in d

Bc/

BW

spectrum emission mask

simulated dig. IF spectrum8−bit quantization

5−bit quantization

measurement BW =

30kHz 1MHz

66

Figure 2.15 The proposed transmitter architecture featuring a SOH DAC.

In summary, the digital-IF transmitter, with the help of the frequency planning

and the high-order-hold DAC, achieves the architectural simplicity of a homodyne

while exhibiting the performance advantages of the heterodyne. This scheme can be

understood as performing digital pre-emphasis on the baseband signals to trivialize the

task of analog filtering. Again, this follows the same technology direction discussed

earlier. That is, to trade off analog complexities by implementing more functions in

the digital domain.

2.3 Spurious Emission Simulations

To establish the feasibility of our architecture illustrated in Figure 2.15 (which does

not require a sophisticated on-chip reconstruction filter or an external IF SAW filter),

I

Q

Σ

LO2 RF VGA

SSB LPF

66 LPF

{1,1,-1,-1,…}

{-1,1,1,-1,…}

D/A interface

fIF = 63.4 MHz

fclk = 253.4 MHz

3.84 MHz

DAC 1– z -11– z -1

SOH DAC

Pulse-shaping and interpolation

(8-bit)

2 RRC 3 5th-order

comb 11 3rd-order comb

66

67

we present the system-level simulation results. In particular, we will observe if the

transmitter satisfies the spurious emission requirement, which is described in Section

1.2.2.

Figure 2.16 shows the simulated wideband (dc to 12.5 GHz) output spectrum of

the entire transmitter, which includes the digital IF up-conversion, SOH D/A

conversion, and the RF SSB up-conversion. The IF spectrum (of Figure 2.13(a)) is

D/A converted and mixed with LO2 ( LOf ), which is a square pulse rich in odd-order

harmonics (3 LOf , 5 LOf , …, etc). Here, we further assume a 1% mismatch between the

rise- and fall-time of the LO signal so that even-order harmonics (at 2 LOf , 4 LOf , …,

etc.,) are also present. This presents a pessimistic scenario from the spurious emission

perspective. Since we have deliberately removed the reconstruction filter which

conventionally follows the D/A conversion, the un-filtered digital images can now get

down-converted with the LO harmonics. They will show up at frequencies:

spur LO clk IFf m f ( n f f )= ⋅ − ⋅ ± (2.14)

where m and n are integers indicating the number of the LO harmonics and the digital

image locations, respectively. These spurs can potentially corrupt the transmit

spectrum and the nearby bands of interest. We will demonstrate that the hardware-

efficient SOH DAC circuit, by providing a high-order ( )( )3sin x / x rolloff, would be

sufficient to meet the spur requirements.

68

Figure 2.16 Output spectrum of the TxIC from dc to 12.5 GHz.

Figure 2.17 presents a close-up of the TxIC output spectrum around the DCS

and WCDMA bands. A very clean transmit spectrum is observed. The noise floor in

the WCDMA Tx band is mainly dominated by the DAC quantization noise (at the 8-

bit level). Due to our choice of clock frequency, no digital images will land in the

WCDMA Rx band. Notice that the quantization noise of the DAC in the WCDMA Rx

band is heavily attenuated due to the notch of the ( )( )3sin x x rolloff, which is rather

advantageous. The model also assumes imperfect lower-sideband rejection and LO

leakage. They show up around the DCS receive (Rx) bands, and will be further

attenuated by the RF SAW and the duplexer filters before they get to the antenna.

0 2 4 6 8 10 12−120

−100

−80

−60

−40

−20

0

20

freq in GHz

no

rmal

ized

sp

ectr

um

in d

B

TxIC output

Tx channel

fLO 2fLO

3fLO 4fLO

5fLO

69

Figure 2.17 Simulated output spectrum of the TxIC in the DCS and WCDMA bands.

The effectiveness of the SOH DAC becomes obvious if Figure 2.17 is contrasted

with a corresponding plot when a conventional (ZOH) DAC is employed (Figure

2.18). The TxIC output spectrum becomes much more problematic. Numerous spurs

show up at the sensitive Tx and Rx bands. This is because the digital images fail to

roll off as rapidly as when the SOH DAC is used. Some of the spurs have been

identified by their respective (m, n, ± ) parameters (referring to (2.14)) to illustrate

how they were generated.

1700 1800 1900 2000 2100 2200−120

−100

−80

−60

−40

−20

0

20

WCDMA Tx WCDMA RxDCS RxDCS Tx

freq in MHz

no

rmal

ized

sp

ectr

um

in d

B

TxIC output

Tx channel

digital images

LO leakage

Rejected sideband

digital images

70

Figure 2.18 Simulated output spectrum of the TxIC when the SOH DAC is replaced by a

conventional ZOH DAC.

The WCDMA requirements on the spurious emission have been given in

Section 1.2.2. For ease of graphical presentation, we have re-calculated the

specifications over the 5 MHz WCDMA channel bandwidth, and represented them in

the unit of dBc/5MHz (assuming the maximum (worst-case) transmitter output power

equals +24 dBm), as shown in Table 2.3.

1700 1800 1900 2000 2100 2200−120

−100

−80

−60

−40

−20

0

20

freq in MHz

no

rmal

ized

sp

ectr

um

(d

B)

TXIC RF signal

WCDMA Tx WCDMA RxDCS RxDCS Tx

(1,15,+) (3,15,-) (1,15,-) (3,15,+)

=± ),,( nm

71

Table 2.3 Spurious emission specifications recalculated in dBc/5MHz.

Before the TxIC output signal shows up at the antenna, it will encounter two

additional external filters which are indispensable in the handset transmitter. They are

namely the RF bandpass SAW filter and the duplexer filter. These two external filters

will advantageously provide additional spurs removal. Based on data sheets available

in the public domain [66][67], we can assume a combined filter attenuation profile as

shown in Figure 2.19.

Frequency Bandwidth

Measurement Bandwidth

Minimum Requirement

Re-calculated* in dBc/5MHz

9 - 150 kHz 1 kHz -36 dBm ---

0.15 - 30 MHz 10 kHz -36 dBm ---

30 - 1000 MHz 100 kHz -36 dBm -43

General spurious

emissions [39]

1 - 12.75 GHz 1 MHz -30 dBm -47

1893.5 - 1919.6 MHz 300 kHz -41 dBm -53

925 - 935 MHz 100 kHz -67 dBm -74

935 - 960 MHz 100 kHz -79 dBm -86

Additional Spurious emissions

[39]

1805 - 1880 MHz 100 kHz -71 dBm -78

1920 - 1980 MHz 1 MHz -25 dBm -42

2110 - 2170 MHz 3.84 MHz -120 dBm -143 Others

[31]

1710 - 1785 MHz 100 kHz -49 dBm -56

* assuming maximum (worst-case) transmitter output power of 24 dBm/5MHz

72

Figure 2.19 Combined magnitude responses of the RF bandpass SAW filter and the

duplexer filter.

Displaying the TxIC spectrum of Figure 2.17 in terms of dBc/5MHz, and taking

the external filter attenuation into account, the final Tx spectrum at the antenna is

computed. Figure 2.20(a) shows the wideband (dc to 12.5 GHz) spurious emission

results, while Figure 2.20(b) focuses on the DCS and WCDMA bands. Spurious

emission requirements are met. It was shown that, with the help of an effective

frequency plan and an innovative SOH D/A conversion scheme, a functional

WCDMA transmitter can be built with virtually no dedicated IF (or reconstruction)

filtering.

1700 1800 1900 2000 2100 2200 2300−100

−80

−60

−40

−20

0

20

DCS Tx DCS Rx WCDMA Rx WCDMA Tx

Frequency in MHz

Filte

r mag

nitu

de re

spon

se in

dB

73

Figure 2.20 Transmit signal spectrum at the antenna, expressed in dBc/ 5MHz, (a) from

DC to 12.5 GHz, and (b) near the DCS/ WCDMA bands. Maximum (worst-case) TxIC

output power of +24 dBm is assumed.

2.4 Summary

The research on transmitter architecture intends to accelerate and enhance the power

and performance advantages as we move the digital/analog boundary closer to the

1700 1800 1900 2000 2100 2200 2300−160

−140

−120

−100

−80

−60

−40

−20

0

20

simulated spectrum

Frequency in MHz

Spec

trum

in d

Bc/

5MH

z

DCS Tx DCS Rx WCDMA Rx WCDMA Tx

spurious emission requirements

0 2 4 6 8 10 12−150

−100

−50

0

freq in GHz

Sp

ectr

um

in d

Bc/

5MH

zspurious emission requirements

simulated spectrum

spurious emission requirements

Frequency in GHz

Spec

trum

in d

Bc/

5MH

z

(a)

(b)

74

antenna in the wireless handset transmitter architecture. A simple digital quadrature

up-conversion is proposed for perfect I/Q matching and EVM performance. The task

of reconstruction filtering is greatly alleviated by (i) optimal frequency planning and

(ii) using a high-order-hold DAC circuit. Simulation reveals that the resulting

transmitter could meet the WCDMA spurious emission requirements with virtually no

dedicated reconstruction filtering. This architecture is designed to benefit fully from

the rapid advances of digital IC technology, and is anticipated to be a good candidate

for implementation of very low-power highly-integrated transmitter IC for WCDMA

handset applications.

This chapter, in part or in full, is a reprint of the material as it appears in

Proceedings of IEEE 57th Vehicular Technology Conference, and has been accepted

for publication in IEEE Transactions on Vehicular Technology. The dissertation

author was the primary researcher and the first author listed in these publications.

75

CHAPTER 3 Low-Power TxIC Circuits

The digital-IF architecture discussed in the previous Chapter addresses the issue of

integration. By eliminating the need of the off-chip IF filter, the architecture would

result in a lower-cost, smaller-size chipset solution. In this Chapter, we would tackle

another crucial issue for the mobile phone, which is power consumption. Lower TxIC

power consumption will translate to prolonged battery life, and, very likely, higher

user satisfaction. While the simple digital-oriented architecture helps to achieve this

goal, the ultimate solution lies in smart low-power analog/ RF circuit design.

There are two aspects of the digital-IF WCDMA TxIC which, when optimized,

will significantly improve the transmitter efficiency:

D/A interface. Since the DAC in our architecture is tasked to handle high-speed

(digital-IF) data, it can potentially be power-hungry [68]. However, as the signal is

narrowband (and passband) in nature1, specialized low-power circuit structures

1 The frequency plan was presented in Section 2.2.4. Notice that the 5 MHz bandwidth of the channel,

which is centered at 63.34 MHz, only constitutes to 2% of the 253.44 MHz DAC clock rate (or 4% of

the Nyquist rate). Therefore, from a power consumption perspective, it would be wasteful to employ a

conventional DAC with usable signal bandwidth which covers dc to 63.34 MHz, or 50% of the Nyquist

rate.

76

can be employed. High-speed HBT devices can also be exploited to implement key

switching elements. Good dynamic performances can then be achieved under very

low bias current.

Power control. To meet the stringent WCDMA requirements (such as the spectral

regrowth specifications) for large output power, high power consumption is often

inevitable. However, as explained in Section 1.4, peak signal only occurs

infrequently, and it will be very inefficient if a constant high bias is maintained at

all time. To yield high “average” efficiency, “smart” dynamic biasing approaches

(which adjust the bias to respond to the output level) will be extensively employed.

Realized on the 6HP SiGe BiCMOS process, the TxIC integrates all the

transmitter analog/ RF functionalities, which include the SOH DAC, the SSB mixer,

and the RFVGA, as shown in Figure 3.1. The TxIC implements a gain control range of

90 dB, which is equally distributed between the three subsystems. The low-power

design for these three groups of circuits, as well as the measured results, are discussed

below.

77

Figure 3.1 Block diagram of the WCDMA handset TxIC (analog/RF frontend chip).

3.1 8-bit 250 Msps SOH DAC

3.1.1 Circuit Design

The 250 Msps (mega-samples per second) SOH DAC includes an 8-bit current-

steering architecture with a dominantly capacitive load. Figure 3.2 shows the DAC

core. The fast bipolar npn switches available in the SiGe BiCMOS process allow high

speed conversion at very low bias current – a key issue with digital-IF approaches.

SiGe BiCMOS TxIC

fclk = 253.4MHz LO (3.71-3.83GHz)

Gain: 16 to -14dB

SSB Mixer RFVGA

IF VGA

DAC

SOH DAC

fIF = 63.4MHz

φ 90o

LO ÷ 2 driver

(8b)

Gain: 0 to -30dB

Gain: 0 to -30dB from digital baseband processor

78

Figure 3.2 Simplified schematic of the SOH DAC core, featuring the dominantly

capacitive load.

Note that current sources and sinks are employed both above and below the

switches. This is done so that, depending on the differential digital inputs, binary-

weighted currents can be steered into and out of the capacitors, thus effectively

performing charging or discharging.

The common-mode output voltage is set by a pair of large resistors, which also

damp the otherwise ideal integrator and prevent it from saturating. Mismatch between

the top and the bottom current sources only produces a finite dc offset voltage, which

would be subsequently eliminated by ac-coupling and have no effect on the (bandpass)

IF signal. Therefore, precise matching within the top current source array is not an

issue.

= = 31 2

CC C

15

voutp

voutn

vcm

…… vcm

D8 Db8 D4 Db4

16Io Io

8Io Io/2C1 /2

C2 C2

……

D3 Db3 D0 Db0

8Io Io

4Io Io/2 C3 /2

MSB segment

LSB segment

79

Due to the digital second-order differentiation prior to the DAC (see Figure

2.15), one additional bit will be generated. So, there are a total of 9 input bits for the 8-

bit D/A conversion. A straightforward implementation would demand 9 binary-

weighted current stages, or a current mirror ratio of 256 to 1. This is rather impractical

from a current source matching perspective and translates to high current

consumption. Assuming that the LSB current (Io) can be as low as 50 μA (so that fT =

20 GHz is achieved for the minimum-sized pedestal device in the advanced SiGe

BiCMOS process), the MSB current would equal 12.8 mA. The total current

consumption would sum to 25.6 mA.

To reduce the mirror ratio and therefore the power consumption, we employ a

simple capacitor current divider. Figure 3.3 shows the single-ended conceptual

diagram. We divide the current (ILSB) coming from the lower LSB segment (last 4 bits)

by 16, and sum it with the upper segment (upper 5 bits) current, IMSB. Assuming that

1 2C C C= = , the output voltage due to ILSB (when LSBI I= and 0MSBI = ) equals

3

2 12out ,LSBIv

sC sC⎡ ⎤

= ⋅ ⎢ ⎥⎣ ⎦

(3.1)

On the other hand, the output voltage due to IMSB (when 0LSBI = and MSBI I= ) equals

3

3

12out ,MSB

C CIvsC sC C

⎡ ⎤+= ⋅ ⎢ ⎥⋅⎣ ⎦

(3.2)

80

Figure 3.3 Single-ended conceptual diagram of the 16 to 1 capacitor divider network.

To perform the 16 to 1 current division, we require that 16out ,MSB out ,LSBv v= ⋅ . We can

solve for C3 from (3.1) and (3.2), and find 3 15C C= ⋅ .

With this simple capacitor divider network, as shown in Figure 3.2, the lower

(LSB) segment is composed of current sources of values: 2 4 8o o o o{ I , I , I , I } , while the

upper (MSB) segment takes on values of 2 4 8 16o o o o o{ I , I , I , I , I } . As such, the ratio of

the largest-to-smallest current is reduced from 256:1 to 16:1. With the minimum LSB

current (Io) of 50 μA, the DAC core consumes only 2.3 mA, less than one tenth of

what would be otherwise required.

Since I-to-V conversion is carried out by capacitor integration, the output signal

amplitude is a function of LSB bias current (Io), total load capacitance

( 1 2loadC C C+ ), as well as the signal frequency (ω 2πIF IFf= ) and the clock period

( 1clk clkT f= ):

-- ω

16 141 IF clk

o clkout ,ppd j T

load

( I ) TvC e

⋅= ⋅ ⋅ (3.3)

vout

IMSB

C1

ILSB

C2

C3

81

To make the DAC less susceptible to glitches and clock feedthrough, it is designed to

handle a maximum of 1 Vppd output. With Io = 50 μA, fIF = 63.36 MHz and fclk =

253.44 MHz, the total capacitance Cload is found to be approximately 8 pF according

to (3.3). Therefore, we have 1 2 3 15C C C= = = 4 pF.

To achieve good matching, the bottom (tail) current sources are realized with

npn devices with L = 4 μm, and resistor with W = 5 μm as shown in Figure 3.4(a).

The layout is done meticulously to form a common-centroid geometry. The bigger

devices (for example, the current source transistor that carries 16 oI⋅ , and is made up

of multiple (16x) unit-size elements) are distributed evenly in a 2-dimensional array,

while the smaller (current source) devices are embedded within. On the periphery of

the matrix, dummy cells are added. These standard layout practices will guard against

the inevitable process gradients and edge effects. The conceptual layout diagram of the

complete current source array (transistors and resistors) is shown in Figure 3.4(b).

Similar layout practice is also adopted for the capacitor array, where the bigger

capacitor C3 is distributed across the array, with the smaller capacitors C1 and C2

inserted within.

For good dynamic (high-speed) performance, CMOS latches and switch drivers

[69] are designed to synchronize data on-chip, and convert digital logic levels into

differential switch driving signals. They are optimized for symmetric and fast

switching to minimize harmonic tones in the output spectrum. To prevent the

switching noise generated by this circuit from propagating to the rest of the chip, the

82

switch driver bank is completely surrounded by deep trench and p+/nwell guard ring

structures.

The IFVGA circuit is shown in Figure 3.5, and provides the second analog

integration for the SOH D/A conversion. Input voltages (from the DAC) are applied to

the differential pair with emitter degeneration, while load resistors are present at the

collectors of the cascode devices. (Variable gain is achieved by adjusting Vctrl versus

Vbias.) To turn the amplifier into a (damped) integrator, a capacitor CL is connected

across the output nodes to form a pole below the signal frequency. The IFVGA

frequency response is given by:

21 2

L EIFVGA

L L

R RH( s )s( C R )

=+

(3.4)

The measured performances of the SOH DAC (DAC core and the IFVGA) will

be presented in the next section.

83

Figure 3.4 (a) Schematic of the bottom current source array (showing the MSB segment

only), and (b) the plan for the complete common-centroid current source layout.

D D D D D D D D D D

D M4 M3 M1 M4 M3 L2 M4 L3 D

D L2 M4 L3 L1 M4 M3 L2 M4 D

D M3 L2 M4 L3 L0 M4 L3 D D

D M4 M3 M0 M4 M3 M2 M4 L3 D

D M2 M4 L3 M1 M4 M3 M2 M4 D

D M3 M2 M4 L3 L1 M4 L3 D D

D D D D D D D D D D

npn

(HB

T) tr

ansi

stor

arr

ay

D M 4

M 3

M 1

M 0

L0

M4

L3

M2

L1

M0

L0

M4

M3

L3

L2

M0

L0

M4

M1

L1

M 0

L 0 D

resistor array

Legend: M = MSB segment L = LSB segment D = Dummy element (for matching purposes)

Example: M3 is the MSB segment element (npn or resistor) that carries 23xIo, or 8Io

16 Io

16x

R (4p)

8 Io

8x

R/2 (2p)

4 Io

4x

R

2 Io

2x

2R (2s)

Io

1x

4R (4s)

(p: parallel, s: series)

(a)

(b)

84

Figure 3.5 Schematic of the IFVGA. It implements the second integrator for the SOH

D/A conversion.

3.1.2 Measured Results

For the individual evaluation of the SOH DAC performances, a test cell is fabricated

as shown in Figure 3.6. The active area (excluding pads) measures 0.77 x 0.55 mm2.

Its identical replica will be integrated with the other two subsystems (of Figure 3.1) to

form the complete TxIC chip (which will be presented in Chapter 5).

The SOH DAC (in particular, the IFVGA) features capacitive load at the output.

In order to drive the 50 Ω test equipments, a driver circuit in the form of an emitter

follower is implemented. Notice that this driver is included strictly for standalone

DAC testing; it is not needed in the fully-integrated TxIC chip, where the SOH DAC

will integrate seamlessly with the subsequent 90o phase-shifter stage (which presents

high input impedance).

The setup for the DAC evaluation is illustrated in Figure 3.7. A high-speed

digital pattern generator [70] is programmed to supply the 9-bit digital data to the chip,

vip vin

RE

Vbias

Vctrl Vctrl

CL RL RL

85

whereas digitizing oscilloscope or spectrum analyzer are employed to observe the

DAC output. The pattern generator can emulate the digital-IF portion of the

transmitter to produce WCDMA signal, or simply produce any sinusoidal-based

stimulus for testing. A high fidelity signal is generated by an electronic signal

generator (ESG) to provide clock signal to the DAC, and to synchronize the pattern

generator in a master/slave fashion. Although it is more tedious to achieve good

clock/data alignment, this setup is necessary because the internal clock of the pattern

generator is measured to be very jittery, rendering it unusable for our DAC testing.

Figure 3.6 Micro-photograph of the SOH DAC test cell.

Probe testing is employed for the sub-system evaluation, so the test chips do not

require packaging. (On the other hand, the complete TxIC evaluation will be

Capacitor array

digital switch driver bank

pmos currentsource array

HBT switches

npn currentsource array

IFVGA

50Ω driver (testing only)

Digital input pads

DAC output

86

conducted on a packaged chip mounted on a printed circuit board, as will be discussed

in Chapter 5.) A typical test setup is displayed in Figure 3.8.

Figure 3.7 Illustration of test setup for the DAC evaluation.

(fclk = 253.4MHz)

IF VGA

DAC

SOH DAC (fIF = 63.4MHz)

(8b)

0 to -30dB

16720A digital pattern

generator (9b)

To oscilloscope or spectrum

analyzer

ESG

device under test

DC Bias

(63.4MHz)

87

Figure 3.8 A typical probe station setup for subsystem test chip evaluation.

The SOH DAC subsystem (which also includes IFVGA/ integrator) consumes a

total of 8 mA with 3 V supply. When a full-scale single-tone sine wave is applied at

63.4 MHz (or a quarter of the clock rate of 253.4 MHz), the transient waveform of

Figure 3.9(a) is observed. The measured output spectrum (from dc to 1 GHz) on a

spectrum analyzer is shown in Figure 3.9(b). It exhibits the elevated ( )3sin( x ) x roll-

off, thus confirming the SOH DAC behavior, and satisfying the WCDMA spurious

requirements.

oscilloscope

spectrum analyzer

digital patterngenerator

ESG

Test chips

microwave probes

power supplies

88

To demonstrate the DAC’s high-speed (dynamic) performance, we would zoom

into the Nyquist frequency band (that is, from dc to 127 MHz). The spurious-free

dynamic range (SFDR) is measured to be 54.5 dB as shown in Figure 3.10, which is

better than the theoretical 8-bit signal-to-quantization-noise ratio (SQNR) of 50 dB.

The linearity of the DAC can be evaluated by applying a full-scale two-tone

sinusoidal signal. The measured transient waveform and the output spectrum are

shown in Figure 3.11. The 3rd-order intermodulation distortion ratio (IMR3) is

measured to be -54 dB.

When a WCDMA signal is applied, the ACLR’s are measured to be -44 dB and

-48 dB at 5 MHz and 10 MHz offset, respectively. They meet the specifications stated

in Section 1.2.2. Figure 3.12 shows the measured DAC output spectrum. We believe

that the true distortion level (especially the alternative adjacent channel leakage) is

masked by the quantization noise floor, as will be discussed later in Chapter 5.

89

Figure 3.9 (a) Measured SOH DAC output transient waveform, and (b) the measured

spectrum from dc to 1 GHz. The spectrum exhibits the elevated [sin(x)/x]3 image rolloff,

confirming the SOH D/A conversion behavior.

63.4MHz sinusoid

[sin(x)/x]

[sin(x)/x]2

[sin(x)/x]3

0 0.25 0.5 0.75 1 Frequency (GHz)

-20

0

-40

-60

-80

Pow

er (d

Bm

)

0 20 40 60

−0.4

−0.2

0

0.2

0.4

time in ns

volt

age

in V

20 40 60 time (ns)

0.2

0.4

0

-0.2

-0.4

Volta

ge (V

)

0

Period = 16 ns

(a)

(b)

90

Figure 3.10 Measured SFDR of the SOH DAC.

-20

0

-40

-60

-80

Pow

er (d

Bm

)

0 20 60 100 120 Frequency (MHz)

8040

SFDR = 54.5dB

91

Figure 3.11 Measured SOH DAC two-tone (a) transient waveform and (b) spectrum.

Figure 3.12 Measured ACLR results of the SOH DAC.

54 dB(IMR3)

50 dB(IMR5)

50 55 65 75 Frequency (MHz)

7060

-20

0

-40

-60

-80

Pow

er (d

Bm

)

0 50 100 150 200 250 300 350

−0.4

−0.2

0

0.2

0.4

100 300

0.2

0.4

0

-0.2

-0.4

Volta

ge (V

)

0 200

time (ns) (a)

(b)

Frequency (MHz)

Pow

er (d

Bm

)

50 55 60 65 70 75−80

−70

−60

−50

−40

−30

−20

−10

adj. ch. leakage alt. ch.

leakage

92

Finally, we should highlight the low-power property of the SOH DAC, which

will become obvious if we compare it to a host of commercially-available 8-bit DAC’s

[71]-[84]. Figure 3.13 presents the comparison, and plots the current consumption

against the conversion speed. In general, the faster the DAC, the more current it will

consume. This trend is denoted by the upward pointing dotted-line rectangle. The ideal

spot would be the lower right corner. As can be seen, the DAC of this work

accomplishes high-speed conversion with remarkably low-power consumption. This

desirable feature is mainly due to the advanced SiGe HBT device and the capacitor-

divider structure.

Figure 3.13 Comparison of the SOH DAC to other commercial 8-bit DAC solutions

regarding conversion speeds and current consumptions.

DAC Speed in Msps

0 50 100 150 200 250 300 3500

20

40

60

80

100

120

140

160

DA

C c

urre

nt c

onsu

mpt

ion

in m

A

this work

Commercially available 8-bit DAC’s

93

3.2 SSB Mixer

3.2.1 Circuit Design

To perform single-sideband up-conversion, in-phase (I) and quadrature-phase (Q)

signals must be generated from the single IF input at 63.36 MHz. Also known as

Hilbert transform, the process can be accomplished by a 90o broadband phase shifting

network [85] as shown in Figure 3.14.

Figure 3.14 Broadband 90o phase shifter.

Assuming that the circuit component values are chosen as

2 3 1

4 6 5

1 1 2 2 3 3 1

4 4 5 5 6 6 2

88

1 2π1 2π

R R RR R R

R C R C R C ( f )R C R C R C ( f )

= == =

= = == = =

(3.5)

where 1f , 2f are approximately the lower and the upper frequency limits of

operation, respectively. It is straightforward to show that the quadrature output signals

are given by [85]

C1

R1

R2 C2

R3

C3

C5

R5

R4 C4

R6

C6

Vout,I Vout,Q

-Vin

input

in-phase output quadrature-

phase output

+Vin

94

( ) ( ) ( ) ( )( ) ( )

21 1

21 1

1 6

2 1 6in

out ,I

F j FV fV f

F j F

⎡ ⎤− − + ⋅⎢ ⎥= ⋅

− + ⋅⎢ ⎥⎣ ⎦ (3.6)

and

( ) ( ) ( ) ( )( ) ( )

22 2

22 2

1 6

2 1 6in

out ,Q

F j FV fV f

F j F

⎡ ⎤− − ⋅⎢ ⎥= ⋅

− + ⋅⎢ ⎥⎣ ⎦ (3.7)

where 1 1F f f= and 2 2F f f= are normalized frequencies. From (3.6)-(3.7), the

magnitude responses of the quadrature signals are given by

12

out ,Qout ,I

in in

VVV V

= = (3.8)

In theory, the quadrature output signals have identical magnitudes for all frequencies,

and they are 6 dB smaller than the input. The loss is recovered by a simple output

buffer with a 2x gain. On the other hand, the phase responses of the quadrature output

signals are given by

( ) ( )( )

( )21 11

4 21 1

2 1Φ

38 1out ,I

Iin

1 F FV ff tan

V f F F−

⎡ ⎤− −⎛ ⎞⎢ ⎥= =⎜ ⎟⎜ ⎟ − +⎢ ⎥⎝ ⎠ ⎣ ⎦

(3.9)

and

( ) ( )( )

( )22 21

4 22 2

2 1Φ

38 1out ,Q

Qin

1 F FV ff tan

V f F F−

⎡ ⎤− −⎛ ⎞⎢ ⎥= =⎜ ⎟⎜ ⎟ − +⎢ ⎥⎝ ⎠ ⎣ ⎦

(3.10)

Our goal is to achieve quadrature phase relationship at the IF, that is,

95

( ) ( ) oΦ Φ 90I IF Q IFf f− = (3.11)

where IFf = 63.36 MHz. This can be achieved by conveniently selecting 1f = 22 MHz,

and 2 18f f= = 176 MHz. With the resistor ratio given by 8 to 1, the capacitor ratio (for

instance, C1 : C2 : C4) becomes 64 : 8 : 1 according to (3.5). This integer component

ratio (or the lack of odd-sized devices) facilitates a compact layout with enhanced

matching properties. The resulting theoretical quadrature phase responses versus

frequencies are shown in Figure 3.15(a). Notice that the curve of the phase difference

between the I and Q outputs has a relatively flat bottom at the IF frequency, implying

a low sensitivity to component variations.

96

Figure 3.15 (a) Calculated phase output responses of the 90o phase shifter circuits, and

(b) their differences.

Quadrature LO signals are also generated from a single off-chip LO input (at 2

times the desired frequency). This is accomplished by a divide-by-two buffer circuit,

in which two latches are connected in a negative feedback loop [19]. The circuit of

Figure 3.16 provides quadrature phase LO’s as long as the clock signals are precisely

complementary and the two latches match perfectly.

frequency (MHz)

40 50 60 70 80 9088

90

92

94

96

ΦI - ΦQ

fIF

Phas

e (d

egre

es)

(a)

(b)

40 50 60 70 80 90−80

−40

0

40

80

ΦI

ΦQ Phas

e (d

egre

es)

frequency (MHz)

fIF

97

Figure 3.16 (a) Divide-by-two circuit for the quadrature LO generation, and (b)

implementation of each latch.

The inevitable I/Q imbalance introduced by the circuits on either the IF side

(Figure 3.14) or the LO side (Figure 3.16) will cause a residual (not perfectly rejected)

lower sideband. Since the residual sideband will cause no degradation to EVM

performance, it is generally tolerable as long as the spurious emission requirement is

not violated.

In a conventional heterodyne transmitter, where the IF is at 380 MHz [26]-[29],

the variable-gain mixer typically involves the use of current-steering cascode devices

(bleeder) as shown in Figure 3.17(a). Similar to the IFVGA, gain control is achieved

by raising Vctrl relative to the Vbias. While being very reliable for high-speed

D

D

Q

Q CLK

D

D

Q

Q CLK

S2D LOx2

LOI LOQ

S2D : single-ended todiff. circuit (diff. pair)

CLK

D

Q

(a)

(b)

98

applications, the structure is rather wasteful, as constant power is consumed for all

output levels. (This is not a problem for IFVGA because the circuit is not consuming

much power anyway.) Instead of reducing the current consumption at lower gain, a

large amount of valuable bias current is simply discarded.

Figure 3.17 Implementation of mixer variable-gain through (a) a bleeder circuit, and (b)

a translinear stage. The translinear circuit is more power efficient as current

consumption will drop with the mixer gain simultaneously.

In our case, with a relatively low IF of 63.4 MHz, the variable gain mixer can be

efficiently achieved with a translinear input stage [86] as shown in Figure 3.17(b),

where the gain is dictated by the current ratio ctrl biasI I . Gain control can then be

achieved by reducing the current Ictrl versus a constant Ibias, so that the power

Ibias Ibias

Vctrl

Vbias

Vin

mixer

Vip

Vctrl

(a)

Ibias

Vb

Vip Vin

Ibias

Ictrl

Vb mixer

(b)

gain

power consumption

(a)

gain

power consumption

(a)

(b)

99

consumption will decrease for reduced mixer gains. To achieve more than 30 dB of

gain programmability, Ictrl is reduced from 8 mA to 100 μA (where Ibias = 1 mA).

To summarize, the complete single-sideband mixer core is presented in Figure

3.18, which follows the topology of Figure 1.7 (in Section 1.2.1).

Figure 3.18 Single-sideband up-conversion mixer core.

3.2.2 Measured Results

The SSB mixer test chip is displayed in Figure 3.19. It measures an active area of 1.2

x 0.7 mm2. The experimental setup is straightforward, and is shown in Figure 3.20.

The IF test signals (sinusoidal or WCDMA, at 63.36 MHz) and the 2x LO signal (at

3.71 to 3.83 GHz, for transmit channels between 1.92 to 1.98 GHz) are generated by

signal generators. A spectrum analyzer is then used to observe the RF mixer output.

Ibias

Vb

Vipq Vinq

Ibias

Ictrl

Vb

LOpq

LOnq LOnq

Ibias

Vb

Vipi Vini

Ibias

Ictrl

Vb

LOpi

LOni LOni

Voutp Voutn

100

Figure 3.19 Micro-photograph of the single-sideband mixer test cell.

Figure 3.20 Setup for the SSB mixer experimentation.

Figure 3.21(a) shows the measured mixer gain versus the control current. It

confirms the variable gain functionality of the mixer translinear input stage. As a

result, the total SSB mixer current consumption reduces from 30mA (high-gain) to

14mA (low-gain), as shown in Figure 3.21(b). A substantial power saving of 50% is

achieved for reduced gain, fulfilling our goal of smart power control as stated in the

2xLO = 3.71 to 3.83GHz

(fIF = 63.4MHz)

ESG

device under test

DC Bias (1.92-1.98 GHz)

SSB Mixer

φ 90o

LO ÷ 2 driver

spectrum analyzer ESG

cap.array

resi

stor

s

90o φ shifter

Single-sideband mixer core

Divide-by-2 LO driver

101

beginning of this Chapter. Among the fixed minimum current of 14 mA, 8 mA is

consumed by the LO drivers, and 3 mA is taken by the phase shifter. These circuits are

not designed to have variable bias.

Figure 3.21 (a) Measured mixer gain versus the control current (Ictrl), and (b) the

measured total mixer current consumption versus the gain.

Some of the spurious emissions of the transmitter are caused by the residual

sideband and LO leakage of the mixer. A measured mixer output spectrum is shown in

Figure 3.22. A single-tone IF signal is applied at 63.36 MHz, and the LO signal at

3773.2 MHz. This would set the channel at 1950 MHz, while the LO leakage and the

residual lower sideband would appear at 1886.6 MHz (1950 – 63.36 MHz) and 1823.2

MHz (1950 – 2 x 63.36 MHz), respectively. The LO leakage and the sideband

rejections are measured as their relative amplitude to the signal power in dBc.

-20

0

-30

Mix

er g

ain

(dB

)

Control current Ictrl (mA)101 0.1 −30 −20 −10 0

14

18

22

26

30

Tota

l mix

er I

cons

umpt

. (m

A)

Mixer gain (dB) (a) (b)

102

Figure 3.22 A sample measured output spectrum of the SSB mixer. A single-tone IF

input is applied for LO leakage and sideband rejection measurements.

The measured LO leakage and sideband rejection versus the mixer gain are

shown in Figure 3.23. A single-tone IF signal at the maximum power level is applied.

The LO leakage and sideband rejection are measured to be -42 dBc and -33 dBc,

respectively, and they stay roughly at that level over the gain control range. (When

the gain goes below -20dB, the LO leakage becomes buried under the noise floor of

the spectrum analyzer. Those results are not plotted here.) While these performances

are not state-of-the-art, they are very satisfactory for our transmitter applications

because they meet the WCDMA spurious emission requirements, as will be discussed

in Chapter 5.

As shown in Figure 3.18, resistors are employed at the RF outputs of the mixer

to achieve I-to-V conversion. While this saves tremendous silicon area than if

inductors are used, the resistors would reduce the headroom for the switch transistors.

As a result, large signals are more likely to be compressed. To gauge the mixer’s large

Frequency (MHz) 1800 1900 2000

−60

−40

−20

0

Spec

trum

(dB

m)

channel (1950 MHz) LO

(1887 MHz)

sideband(1823 MHz)

LO leakage

sideband rejection

103

signal behavior, the measured mixer compression performance (at maximum gain) is

shown in Figure 3.24. The output 1 dB compression point (Pout,1dB) is measured at 0

dBm. This is a satisfactory result as the mixer Pout,1dB is about 3 dB higher than the

targeted input 1 dB compression point (Pin,1dB) of the next stage (RFVGA).

Figure 3.23 Measured LO and sideband rejection versus the mixer gain.

Figure 3.24 Measured mixer compression behavior.

−20 −15 −10 −5 0

−20

−15

−10

−5

0

Input power (dBm)

Out

put p

ower

(dB

m)

Pout,1dB = 0dBm

(slope = 1)

−30 −25 −20 −15 −10 −5 0−45

−40

−35

−30

Mixer gain (dB)

LO a

nd s

ideb

and

reje

ctio

n (d

Bc)

sideband rejection

LO leakage

104

Finally, we would present the measured linearity results in terms of ACLR. A

WCDMA signal is applied to the mixer at the intermediate frequency of 63.36 MHz.

Figure 3.25 shows the up-converted (1950 MHz) spectrum at the maximum average

output power level (Pout,max) of -10 dBm. The ACLR at 5 and 10 MHz offsets are

measured to be -49 dBc and -57 dBc, respectively. The ACLR performances meet the

specifications with very comfortable (16 and 13 dB) margins. Only modest

degradation of linearity is observed when the signal power is increased even further,

as shown in Figure 3.26. Distortion starts to increase more severely when the output

power reaches ~6 dB above the maximum average level.

Figure 3.25 Measured WCDMA spectrum of the SSB mixer at the maximum average

output power.

1930 1940 1950 1960 1970

−80

−60

−40

−20

Frequency (MHz)

Pow

er (d

Bm

)

Pout = -10dBm ACLR (5MHz) = -49dB ACLR (10MHz) = -57dB

105

Figure 3.26 Measured mixer ACLR results versus output power levels.

3.3 RFVGA

3.3.1 Circuit Design

The RF variable gain amplifier is located at the very end of TxIC signal-processing

chain, and it handles the highest power level. It is a two-path (differential) two-stage

design shown in Figure 3.27 (which displays only the positive identical half). The first

stage features a cascode amplifier, whose gain control is conducted in a similar

manner as the IFVGA. The second stage is a common-emitter (CE) amplifier. The

output network is designed for power matching to a 50 Ω load. The key is to keep the

quiescent current for both stages as low as possible using “smart” adaptive bias

schemes [87], and allow the amplifier to achieve higher average current only when

needed (Class AB bias).

−10 −8 −6 −4 −2

−60

−50

−40

−30

Output Power (dBm)

AC

LR (d

Bc)

ACLR (5MHz offset)

ACLR (10MHz offset)

Pout,max Pout,1dB

106

Figure 3.27 Simplified schematic of the RFVGA. The two stage design features adaptive

bias schemes to make linearity requirements while minimizing the quiescent current

consumptions.

To that end, the CE amplifier features a constant (base) voltage bias through an

active buffer circuit, which supplies additional base current at high output power level

(for Class AB action). Similar to the conventional floating inductor base bias, the

buffer presents a high impedance at 2 GHz, and a near-zero impedance at dc. At the

expense of very small power consumption, it consumes much smaller silicon area than

an on-chip inductor, and introduces far less capacitive coupling between the RF input

and the substrate.

Note that for the cascode amplifier, a resistor (instead of an inductor) emitter

degeneration is employed as shown in Figure 3.27. While this saves tremendous

silicon area, the resistor renders the constant-voltage bias ineffective, since it would

compress the base-emitter voltage as soon as the average collector current rises, thus

severely limiting the Class AB action.

common-emitter amp. cascode amp.

50 Ωvip

Bias control

vip vin

Vctrl Vbias _+

vop’ Icq1

Icq2 vop

ΔIcq

107

To mitigate this, we employed an adaptive bias control technique, based on the

power detector circuit shown in Figure 3.28. Power detection is accomplished by two

bipolar devices (Q1, Q2) configured as CE amplifiers. They are biased with low

quiescent current (Icq), and their collector currents will be clipped during large-signal

conditions. As a result, their average (dc) collector currents will be raised above the

quiescent level. The extra dc current, which is proportional to the input power, will be

mirrored and multiplied (with a digitally-programmable ratio by transistor pair M3-

M4). Eventually, it will be applied to supplement the fixed quiescent current (Icq1) of

the cascode amplifier bias network of Figure 3.27.

Figure 3.28 Power detector bias control circuit.

From a biasing perspective, the power detector control circuit realizes “current-

on-demand”: it provides current boost only for large signal conditions, in order to

reduce circuit distortion and compensate for amplifier compression. From a harmonic

injection perspective [88], the detector circuit also feeds the envelope signal of the

input back into the main amplifier. As will be analyzed rigorously in the next Chapter,

this envelope signal can advantageously cancel the intermodulation distortion

Icq

Vip Vin

x2

Q2 Q1

1 : 4

M1 M2 M3

x1

M4

ΔIcq

1 : N

Q4 Q3

108

components of the amplifier. Either way, enhanced amplifier linearity and

compression performances are achieved without any increase in quiescent current.

This translates to high average efficiency, which is an important low-power design

objective stated in the beginning of this Chapter.

3.3.2 Measured Results

The RFVGA test chip is shown in Figure 3.29, and it measures an active area of 0.5 x

1.6 mm2. It contains half (the single-ended version1) of the RFVGA circuits that

would be integrated on the complete TxIC chip. The test setup is presented in Figure

3.30. Amplifier gain and compression measurements are greatly facilitated by

employing the network analyzer, which accurately measures the S-parameters of the

device under test versus frequencies or input power levels. For linearity measurement,

the standard ESG/ spectrum analyzer setup similar to that used for the mixer

evaluation (Figure 3.20) is employed.

1 Since the two paths of the differential RFVGA are identical, the half circuit is completely indicative of

the full RFVGA behavior. This is done so that the three test cells (SOH DAC, SSB mixer and the

RFVGA) will fit with the complete TxIC chip (to be presented in Chapter 5) on a 3 x 3 mm2 die, which

is the silicon area sponsored by IBM corporation for the Semiconductor Research Corporation (SRC)’s

SiGe Design Contest. Experimental results presented here have been calibrated to reflect the

performances of the full RFVGA version.

109

Figure 3.29 Microphotograph of the RFVGA test chip.

Figure 3.30 Experimental setup for the RFVGA test chip evaluation.

The measured RFVGA gain is 16 dB. It consumes a total quiescent current of 9

mA with 2.7 V supply. The quiescent power saving is about 60% versus a simple

Class A design.

Figure 3.31 displays the measured current consumption of the RFVGA versus

input power. Additional current is provided to the cascode amplifier when the detector

is enabled (with increasing current mirror ratio), verifying the adaptive bias’s correct

CE amp

Cascode amp

Detector

RFVGA

device under test

DC Bias

Network Analyzer Port 1 Port 2

110

functionality. Figure 3.32 shows the resulting gain compression versus output power.

Due to the dynamic bias (current boost at high power), gain compression is

compensated by gain expansion, resulting in enhanced dynamic range without an

increase in quiescent dc power. The output 1 dB compression point is increased from

+9.2 dBm to +12.7 dBm, an improvement of 3.5 dB.

Figure 3.31 Measured current consumption of the RFVGA versus the input power level.

−20 −15 −10 −5 0 5

10

15

20

25

30

35

40

45

Detector mirror ratio: Disabled, 2x and 4x

Cur

rent

con

sum

ptio

n (m

A)

RFVGA Pout (dBm)

111

Figure 3.32 Measured gain compression of the RFVGA versus output power level.

The dynamic bias also improves the RFVGA linearity as shown in Figure 3.33.

At the (maximum) WCDMA power level of +3.5 dBm, the detector circuit has

improved the ACLR by 6 dB. The ACLRs at 5 MHz and 10 MHz equal -43 dB and -

59 dB, respectively, which meet the specifications by at least a 10 dB margin.

−10 0 10

−2

−1

0

Gai

n de

viat

ion

(dB

)

RFVGA Pout (dBm)

1dB compression point

Detector mirror ratio: Disabled, 2x and 4x

112

Figure 3.33 Measured ACLR of RFVGA showing the linearity improvements due to the

power detector bias control.

As is evident in Figure 3.33, the ACLR improvement due to the detector circuit

is asymmetrical. Better ACLR results are observed at the lower side of the channel.

This interesting phenomenon will be explained in detail in the next Chapter when we

study the effects of envelope signal injection.

The measured ACLR (at 5 MHz offset) versus the output power is plotted in

Figure 3.34. Linearity improvement is achieved over a wide range (10 dB) of output

levels. For small-signal power (where the amplifier linearity is good enough without

the current boost), the detector circuit does not respond. Maximum ACLR

improvements are then attained near the amplifier maximum average output level.

Moderate improvement is still achieved when the signal power approaches the

amplifier 1 dB compression point.

Detector mirror ratio: disabled, 2x and 4x

1950 1956 1962 1938 1944

-20

0

-60

-80

-40 Po

wer

(dB

m)

Spectrum emission

mask

Pout = +3.5dBm

Frequency (MHz)

113

Figure 3.34 Measured RFVGA ACLR results versus output power. Linearity

improvement is observed over a wide range of power level.

3.4 Summary

Smart-power circuit techniques are described and experimentally verified. A high-

speed DAC is designed to drive a dominantly capacitive load and perform the SOH

reconstruction. It achieves very low power consumption due to the use of the ultra-

high-speed HBT switches, as well as the capacitor divider network. The up-conversion

mixer, by means of a translinear input transconductor stage, will effectively scale

down the power usage for gain control. The RF amplifier features adaptive bias

control, which provides current boost in response to increase in signal power, so that

high linearity and good compression performances can be achieved without raising the

quiescent current consumption. In combination, these circuits will fulfill our goal of

realizing a low-power, high-(average) efficiency TxIC solution.

−5 0 5 −50

−45

−40

−35

−30

Detector mirror ratio: Disabled, 2x and 4x

AC

LR a

t 5M

Hz

(dB

)

RFVGA Pout (dBm)

Pout,max

114

This chapter, in part or in full, is a reprint of the material as it appears in 2004

IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical

Papers, and has been accepted for publication in IEEE Journal of Solid-State Circuits.

The dissertation author was the primary researcher and the first author listed in these

publications.

115

CHAPTER 4 Amplifier Linearity Improvement by Envelope Injection

To prolong battery life while keeping spectral regrowth to the minimum, low-power

low-distortion transmitter circuits are needed. The further down the transmitter chain

(as signal powers get increasingly higher), the more challenging it is to simultaneously

meet these dual conflicting goals of high-efficiency and high-linearity. But it will be

exceptionally rewarding in terms of power saving if innovative solutions can be

derived. Therefore, we would devote this Chapter to analyze and propose a subtle but

very powerful linearity improvement technique for RF amplifiers (RFVGA or PA).

In Section 3.3.1, adaptive bias technique has been derived for amplifier linearity

enhancement and dc current reduction. Specifically, the power detector circuit of

Figure 3.28 was employed to provide dc current boost at high power levels. Note that

an envelope signal current is also generated, as explained below. Assuming that the

input RF signal is a two-tone sinusoid (of frequencies 1ω and 2ω ). When the

differential collector currents of Q1 and Q2 are combined at the drain of transistor M1,

all odd-order terms (at 1ω , 2ω , 13ω , 23ω , 1 22ω ω± , 15ω , etc.,) are cancelled, while

the even-order terms (at 2 1ω ω± , 12ω , 22ω , etc.,) will be summed. The lowpass

116

(single-pole) filter at the gates of M1-M2 will annihilate all of the remaining even-order

terms except 2 1ω ω− (or the signal envelope) as it is the only baseband (low

frequency) component1. This envelope signal will be fed back alongside the dc current

to the main amplifier.

As presented in Section 3.3.2, experimental results show improvements in

ACLR due to the (envelope) power detector circuit, although asymmetric spectral

regrowth is observed. Here, based on Volterra techniques, we would vigorously study

the effects of envelope signal injection, and illustrate a technique in which the

intermodulation distortion can be optimally cancelled.

4.1 Linearity Analysis of Envelope Injection Technique

The underlying concept for power detection is shown in Figure 4.1. A rise in the input

power causes a proportional rise in the bias current of the amplifier, and results in

improved linearity. On top of the dc current, the detector circuit also produces an

envelope current proportional to the signal power. Assuming a two-tone sinusoidal

input at frequencies 1ω and 2ω , the envelope signal is given by

( ) ( )2 1ω ω θenv env envi t I cos t⎡ ⎤= ⋅ − +⎣ ⎦ (4.1)

1 Of course, there exist other even-order baseband components (for instance, at 2 12ω 2ω− ) which may

not get cancelled or filtered. However, since they are higher-order intermodulation products with much

smaller magnitudes, they can be safely neglected.

117

where envI and θenv denote the amplitude and the phase of the envelope signal

respectively. As such, the bias current of the amplifier transistor (the Qamp shown in

Figure 4.1), as well as its transconductance, are time-varying. For intermodulation

calculations, this is modeled as an additional small-signal envelope signal voltage

along with the two-tone RF inputs.

Figure 4.1 Conceptual diagram of the adaptive-bias RF amplifier. The power detector

adjusts the dc bias in response to the input power.

Volterra analysis is used to capture the frequency dependent nonlinearities,

which dominate at high frequencies [89]. The equivalent nonlinear circuit is shown in

Figure 4.2, where ZS, ZE and ZL denote the source, emitter, and load impedances

respectively. In this model, capacitance πC and trans-conductance gm are assumed to

be the only nonlinear elements [90]. The i-v relationship of πC is given by

output

input

power detector

Qamp

118

Figure 4.2 Nonlinear amplifier model, for Volterra analysis using method of nonlinear

currents [89]. The fundamental signals are found by setting the nonlinear current

sources to zero, while higher-order distortion voltages are evaluated by setting the signal

source to zero.

2 3π 2 3be C be C be

di C v K v K vdt

⎡ ⎤= + +⎣ ⎦ (4.2)

where 2CK and 3CK are the 2nd- and 3rd-order nonlinear capacitance coefficients, and

vbe is the base-emitter voltage. Similarly, the nonlinear collector current is given by

2 32 3c m be gm be gm bei g v K v K v= + + (4.3)

where 2gmK and 3gmK are the 2nd- and 3rd-order nonlinear transconductance

coefficients. These coefficients are extracted from simulations of the bipolar transistor

biased in the actual operating conditions. They will be employed to calculate the value

of the nonlinear current sources ωN ,C ,i% and ωN ,gm,i% , which denote the Nth-order nonlinear

capacitance and transconductance currents at frequency ω .

ZS

ZL

μC

ZE

πC

C B

E

gmvbe %

N,C,ωi %

N,gm,ωi vbe +

_ vs

+ _

119

In our three-tone intermodulation test, where two input frequencies are at 1ω ,

and 2ω , and the third (envelope) signal input is at 3 2 1ω ω ω= − , we will derive the

resulting distortion using the method of nonlinear currents [89]. From Figure 4.2, by

ignoring the nonlinear current sources, the fundamental collector and base-emitter

voltages (at ω ) are given by:

( )( )

( ) ( )2

μ π μω 1 ωω ω

ωm m E E L

c s

g j C g Z C C Z Zv v

D

⎡ ⎤− + + − ⋅⎣ ⎦= (4.4)

( ) ( ) ( )μ1 ωω ω

ωL

be s

j C Zv v

D+

= (4.5)

where ( )ωD is given by:

( ) ( )

( )

2π μ π μ π μ

π μ π μ

μ

ω 1 ω

ω []

E L E S L S

m E E L S S

m E L E S L S

D C C Z Z C C Z Z C C Z Z

g Z j C Z C Z C Z C Z

C g Z Z Z Z Z Z

= − + +

+ + ⋅ + + +

+ + +

(4.6)

The 2nd-order base-emitter voltage at frequency ω is found to be

( ) ( )

( )2 ω μ

2 ω μ

ω ω

ω ω

{ }

be ,gm, E L S E L S E

,C , S E L S E L S E

v i Z j C Z Z Z Z Z Z

i Z Z j C Z Z Z Z Z Z / D( )

⎡ ⎤= − + + +⎣ ⎦

⎡ ⎤+ + + + +⎣ ⎦

%

% (4.7)

For double frequency terms (such as 12ω ), the nonlinear currents are given by [89]

( ) ( )2 2 22 2ω 2 2ω 2ω ω ω

2gm

,gm, be ,C , C be

Ki v i K j v= =% % (4.8)

120

Similarly, for difference frequency terms (such as 2 1ω ω− ), the nonlinear currents are

given by

( )2 ω ω 2

2 ω ω 2

ω ω

ω ω ω ωa b

a b

,gm, gm be b be a

,C , C a b be b be a

i K v v ( )

i K j( )v ( )v ( )−

= −

= − −

%

% (4.9)

The 3rd-order collector voltages can be written as:

( ) ( )

( )3 ω μ

3 ω μ π

ω ω

1 ω ω ω

{}

c L ,C , S m E S

,gm, S E S

v Z i j C Z g Z Z

i j C Z j C Z Z / D( )

⎡ ⎤= − − + +⎣ ⎦⎡ ⎤− + + +⎣ ⎦

%

% (4.10)

The third-order IMD (IMD3) currents are given by:

[ ] [ ]

( ) [ ] [ ]

3 2ω ω 2

3 2ω ω 22ω ω

a b

a b

3gm,gm, gm

3C,C , a b C

3Ki K + + + + +

43Ki j K + + + + +

4

=

⎧ ⎫= − ⎨ ⎬⎩ ⎭

%

%

1 2 3 4 5 6

1 2 3 4 5 6

(4.11)

where 1-6 denote all possible combinations of the lower-order (fundamental and

2nd-order) terms that will give rise to the IMD3 products. Specifically, for IMD3 at

1 22ω ω− , these six terms are:

( ) ( )( ) ( )( ) ( )

( ) ( )( ) ( )( ) ( )

1 2 2 3

1 1 2 1 3

2 22 1 2 3

2ω ω ω 2ω

ω ω ω ω ω

ω ω ω ω

be be be be

be be be be

be be be be

v v v v

v v v v

v v v v

= − = −

= − = −

= − = −

1 2

3 4

5 6

(4.12)

By the same token, the corresponding products for the IMD3 at 2 12ω ω− are

121

( ) ( )( ) ( )( ) ( )

( ) ( )( ) ( )( ) ( )

1 2 1 3

2 2 1 2 3

2 21 2 1 3

ω 2ω ω 2ω

ω ω ω ω ω

ω ω ω ω

be be be be

be be be be

be be be be

v v v v

v v v v

v v v v

= − =

= − =

= − =

(4.13)

Finally, the 3rd-order intermodulation ratio (IMR3) is determined by the ratio

between the fundamental and the third-order vc given by (4.4) and (4.10).

Notice that the products denoted by 135 are the conventional IMD3

components, as they are envelope signal ( 3ω ) independent. Among the remaining

envelope-dependent terms, only 4 is of interest as the other two (26) involve

“squaring” the already small envelope input, and can be safely ignored.

4.2 Discussions on Theoretical Results

The theoretical analysis leads to an intuitive understanding of the nonlinear behavior,

as well as a strategy for high-linearity high-efficiency RF amplifier design, as will be

explained below.

Since the envelope-dependent mixing products 4 and will typically have

different phase relationships with the conventional distortion components, their

summation can result in unequal IMD3 amplitudes at 1 22ω ω− and 2 12ω ω− . This

scenario is graphically demonstrated in Figure 4.3, where the nonlinear current

components are represented by vectors to highlight their interactions. In this example,

the angle between vectors and Σ [ ] is less than that between 4 and

Σ [134] (i.e., 1 2θ θ< ). As a result, their resultant vectors will exhibit different

122

magnitudes. So, the IMD3 at 2 12ω ω− will be higher than that at 1 22ω ω− . It shows

that asymmetric spectral regrowth is possible although the individual distortion

components are equal in magnitude at both frequencies. We believe this is the main

cause behind the asymmetric ACLR observed in Figure 3.33 (of Section 3.3.2). We

would confirm this by comparing the measured results and the theoretical predictions

in the next section.

Figure 4.3 Vector diagram illustrating the cause of IMD3 asymmetry. Vectors 4 and

represent the injected envelope signal. Note that the two resulting IMD vectors will

have different amplitudes depending on the phase of the envelope.

The vector diagram also points to the fact that if the injected envelope signal is

too strong, vectors 4 and will dominate the final IMD3 resultant vector. That is, the

“second-order” product due to the envelope signal at 2 3 2 1ω ω 2ω ω+ = − would mask

the true “third-order” intermodulation of the amplifier at the same frequency. The

detector circuit is causing worse spectral regrowth than if it is absent, which is highly

undesirable.

Imag

(non

linea

r cur

rent

) μA

1+3+5

+ +

4

Longerresultant (at 2 12ω -ω )

Shorter resultant (at 1 22ω -ω )

Real (nonlinear current) μA

0

20

-20 0 -20

θ1

θ2

θ θ1 2<

123

Nevertheless, the vector analysis also leads to a method for IMD3 cancellation. It

is straightforward to show that if the envelope signal is phase-shifted (with respect to

the input RF signals), vectors 4 and will always rotate in opposite direction by

the same angle: if one moves clockwise, the other will travel counter-clockwise. If

these vectors can be simultaneously rotated to be at 180o opposite to the vectors of

Σ [134] and Σ [ ], and they are of equal magnitude, the IMD3 at both

frequencies will be greatly reduced.

The above scenario is realized in Figure 4.4. We introduce a phase shift (of

+90o) to the envelope signal when it is injected back to the main amplifier. As a result,

both envelope-dependent nonlinear current vectors move to align themselves ~180o

opposite to the fixed IMD3 components. The resultant IMD3 vectors at both 1 22ω ω−

and 2 12ω ω− frequencies are substantially reduced.

Since the envelope detector circuit is very low-power and operates at baseband,

the distortion cancellation technique has good potential for achieving both high-

linearity and high-efficiency to meet the stringent requirements for modern

communication applications.

124

Figure 4.4 Vector diagram showing optimal IMD3 cancellation. Note that the injected

envelope signal cancels the third-order components when its phase and amplitude are

optimized.

4.3 Comparison of Measurement and Simulation Results

To establish the validity of the Volterra series analysis, we would compare the

measured linearity results of the RFVGA test chip (of Figure 3.29) against the

theoretical predictions. Figure 4.5 presents the measured amplifier 3rd-order

intermodulation distortion results. Two sinusoidal signals at 1.9475 GHz and 1.9525

GHz are applied. The test is conducted for a wide range of input powers up to the

input 1 dB compression point of -8 dBm. The figure shows the measured IMD3

improvement when the envelope detector is enabled. The measured data are compared

closely to the Volterra series calculations, thus confirming the analysis conducted in

this Chapter.

Imag

(non

linea

r cur

rent

) μA

1+3+5

+ + 4

Envelope signal phase shifted

Real (nonlinear current) μA

0

20

-20 0-20

ResultantIMD3 greatly reduced

125

The effect of the phase of the envelope signal on intermodulation distortion is

shown in Figure 4.6. The RFVGA was simulated at the maximum power level, and an

envelope signal of fixed amplitude and arbitrary phase is injected. The two-tone

simulation results, together with the theoretical predictions, are shown in Figure 4.6,

and excellent agreement is observed. The simulation verifies our intuition that optimal

IMD cancellation will result at a particular envelope signal amplitude and phase angle.

In this case, IMD at 1 22ω ω− and 2 12ω ω− show simultaneous improvement of 8 dB.

Figure 4.5 IMD3 reduction versus input when the envelope detector is enabled. Good

agreement is observed between the calculation and measured results, thus confirming

the Volterra series analysis.

−24 −22 −20 −18 −16 −14 −12 −10 −8−12

−10

−8

−6

−4

−2

0

2

4

Measured: @ ω ω2 12 -

@ ω ω1 22 -

Calculated: @ ω ω2 12 -

Calculated: @ ω ω1 22 -

Red

uctio

n of

IMD

3 (dB

)

Input Power (dBm)

126

Figure 4.6 Comparison between calculation and simulation of IMD asymmetry with

varying envelope injection phase. Maximum IMR3 cancellation is achieved when the

envelope signal is injected with the optimal phase relative to the RF inputs.

4.4 Summary

By making use of an envelope detector and feedback network that is compact and low-

power, the linearity improvement technique described here is uniquely suitable for the

design of high-linearity high-efficiency RF amplifiers. The distortion behavior was

rigorously studied by Volterra series analysis. Very good agreement is observed

between the theory, the simulated results, and the measured results.

This chapter, in full, has been accepted for presentation in 2004 IEEE Custom

Integrated Circuits Conference (CICC). The dissertation author was the primary

researcher and the first author of this paper.

Phase of envelope signal, θenv (degree)

−150 −100 −50 0 50 100 150−65

−60

−55

−50

−45

−40

−35Simulated (2ω2-ω1)

Simulated (2ω1-ω2)

Calculated

No envelope (Ienv = 0) IM

R3 (

dB)

127

CHAPTER 5 Measured TxIC Results

In this Chapter, measured performances on the complete TxIC chip will be presented.

The results will provide a comprehensive picture of how the architecture will work

with the circuits to yield an optimal highly-integrated low-power TxIC solution.

The TxIC chip is fabricated in IBM’s 0.25 μm SiGe BiCMOS process, and it is

shown in Figure 5.1. It incorporates the SOH DAC, the SSB mixer and the RFVGA

circuits (corresponding to the block diagram of Figure 3.1). The chip contains 6

inductors, 400 capacitors, 320 npn’s, and measures 1.8 x 2.2 mm2 including the pads.

The compact layout features natural signal flow for easy routing and enhanced signal

isolation: digital data come onto the chip at the upper right corner (DAC), IF signals

travel leftwards (SSB mixer), and then RF signals propagate rightwards (RFVGA) and

exits the chip at the lower right corner.

128

Figure 5.1 TxIC chip microphotograph. It measures 1.8 x 2.2 mm2.

5.1 Experimental Setup

For realistic and stable test conditions, experimentations are performed on packaged

chips. The 40-pin Micro-LeadframeTM (MLF) package from Amkor Technology is

selected [91]. The quad flat no-lead (QFN) package features a copper leadframe

substrate. It uses perimeter lands on the bottom of the package to provide electrical

contact to the printed circuit board (PCB). The package also exposes the die attach

paddle on the bottom to provide an efficient heat path when soldered directly to the

PCB, and to enable stable ground by use of down bonds. Figure 5.2 shows pictures of

the package and the bonded TxIC chip.

DAC φ 90o LO driver

SSB mixer

cascode amp. (RFVGA) CE

IFVGA

129

Figure 5.2 Pictures of (a) the quad flat no-lead package, and (b) the bonded TxIC chip.

To facilitate accurate and efficient WCDMA transmitter performance

evaluations, a specialized WCDMA transmitter tester is employed [92]. Essentially a

vector signal analyzer, the tester allows push-button measurements of WCDMA

transmission metrics such as EVM, channel power, occupied bandwidth, ACLR, etc.

The test setup is rather straightforward, and is illustrated in Figure 5.3. Pictures of the

laboratory bench and the PCB board are displayed in Figure 5.4.

Figure 5.3 Experimental setup for the TxIC chip evaluation.

(a) (b)

SOHDAC

SSB mixer

RFVGA

LO

φ

device under test

(fclk = 253.4MHz)

16720A digital pattern

generator (9b)

ESG

(fIF = 63.4MHz)

ESG

2xLO = 3.71 to 3.83GHz

Tx Tester(VSA)

(fRF = 1.92 to 1.95GHz)

130

Figure 5.4 (a) Laboratory bench for TxIC evaluation, and (b) close-up of the PCB.

5.2 Measured Results

Figure 5.5(a) shows the measured TxIC output spectrum in the DCS/ WCDMA Tx

and Rx bands. A channel is being transmitted in the middle of the Tx band at 1950

MHz. Notice that the spurious emissions, which include the residual (lower) sideband,

LO leakage, digital images and the (DAC) clock feedthrough, will be further reduced

by the external filters (namely the RF SAW and the duplexer) before they reach the

antenna.

(a) (b)

300MHz digital pattern generator

ESG’s Tx

Testerspectrum analyzer

PCB digital inputs 2xLO

RF output clock

131

Figure 5.5 (a) The measured TxIC output spectrum in the DCS and WCDMA bands. (b)

Normalized and including the external filter attenuation, it is shown to meet the spurious

emission requirements.

Following the procedures described in Section 2.3, we then normalize and

express the measured TxIC spectrum in dBc/5MHz, and include the additional

external filter attenuation. The results are shown in Figure 5.5(b). The spurious

emission requirements at different regions (Table 2.3) are also superimposed. Spurious

emission requirements are met in various regions. This represents the worst-case

Tx (DCS) Rx Tx (WCDMA) Rx

desiredchannel LO

lowersideband

clock feedthrough digital

image

1600 1800 2000 2200 Frequency (MHz)

0

-20

-40

-60

-80

Spec

trum

(dB

m)

(a)

1600 1800 2000 2200 Frequency (MHz)

0

-40

-80

-120

Nor

mal

ized

spe

ctru

m (d

Bc/

5MH

z) Tx (DCS) Rx Tx (WCDMA) Rx

measured

Spurious emission requirements

system sym.(behavioral)

(b)

132

scenario as the TxIC is operated at its peak output power (while the spurious

emissions are specified in absolute terms).

However, due to the imperfect high-speed data and clock alignment at the DAC

input, excess noise is being injected to the input. This noise is amplified by the double

integrators (of the DAC core and the IFVGA), thus resulting in the tilted Tx noise

floor as observed in Figure 5.5. Furthermore, the injection of noise also creates a

relatively high noise content at the Rx band (2110-2170 MHz). In theory, the

quantization noise should be substantially rejected in the middle of the Rx band due to

the notch of the sin( x ) x rolloff as described in Section 2.3; the notch is partially

“filled up” by the noise injection. An improved data latch design and a more balanced

layout (for the clock and input signals at the board and the chip levels) will mitigate

this issue.

Figure 5.6 displays the measured LO and sideband leakage versus the TxIC gain

control. At the maximum output power, they are measured to be 30.5 and 35 dBc,

respectively, and remain at that level for a wide (50 dB) range. While these numbers

are not state-of-the-art, they still meet the spurious emission requirements of the

WCDMA standard.

133

Figure 5.6 Measured TxIC residual sideband and LO leakage.

Figure 5.7 shows a close-up of the WCDMA transmit channel at the maximum

output power level of +5.5 dBm. The ACLR at 5 MHz and 10 MHz offsets are

measured to be -42 and -51 dBc, respectively. They meet the WCDMA specifications

of -33 and -43 dBc with good margins. In this measurement, the true alternative

ACLR (at 10 MHz offset) distortion is lower than this result, and is masked by the

tilted transmit band noise as described earlier. The measured TxIC ACLR’s versus

gain control is shown in Figure 5.8, meeting the specifications over the wide dynamic

range.

−100 −80 −60 −40 −20 0

−100

−80

−60

−40

−20

0

20

Gain control (dB)

RFVGA

gain control

mixer IFVGA

desired

sideband

LOO

utpu

t pow

er (d

Bm

)

134

Figure 5.7 Measured TxIC WCDMA output spectrum (Pout = +5.5 dBm).

Figure 5.8 Measured TxIC ACLR’s versus gain control.

The measured occupied bandwidth of the TxIC WCDMA output is shown in

Figure 5.9. It equals 4.18 MHz, and meets the specification with good margin.

−100 −80 −60 −40 −20 0

−80

−60

−40

−20

0 desired

ACP

alt. ACP

Gain control (dB)

Out

put p

ower

(dB

m)

specs.

1930 1940 1950 1960 1970

−50

−40

−30

−20

−10

0

Frequency (MHz)

Pow

er (d

Bm

)

Pout = +5.5dBm

spectrum emission

mask

135

Figure 5.9 Measured occupied bandwidth of the TxIC WCDMA output.

Figure 5.10 shows the measured TxIC noise in the Rx band versus gain control.

Measured with a WCDMA signal, the worst-case noise in the Rx band is measured to

be -121 dBm/Hz, which is relatively high compared to the typical specification of -130

dBm/Hz. As demonstrated by running the following experiment, it can be shown that

the high noise floor is dominated by the DAC quantization noise. When a simple

repetitive digital pattern (such as 00110011…) is applied to the TxIC, the DAC

quantization noise can be effectively “turned off” while the TxIC will produce the

same output power. In that case, the noise reduces to -128 dBm/Hz. It reflects the true

thermal or circuit noise, and is more comparable to other state-of-the-art solutions

[29][31][35]. The relatively high quantization noise floor can be easily reduced by

adding an extra pole to the IFVGA, if necessary.

136

Figure 5.10 Measured TxIC noise in the WCDMA Rx band.

A measured TxIC (QPSK) EVM plot is shown in Figure 5.11. The measured

rms EVM is less than 1%, after equipment errors are calibrated out. This excellent

EVM performance should be compared to the state-of-the-arts solutions that report 2.5

to 6% [26][27][29][31][32]. As mentioned earlier, the very low EVM is a unique

property of the digital-IF scheme.

Figure 5.11 Measured TxIC QPSK constellation for Pout = +5.5 dBm.

−80 −60 −40 −20 0

−160

−150

−140

−130

−120

spec

measured with WCDMA signal

measured with repetitive pattern

Output power (dBm)

Pow

er (d

Bm

/Hz)

137

Finally, Figure 5.12 presents the TxIC current consumption versus the output

power. The TxIC exhibits a substantial drop of current consumption at reduced output

power, which is highly desirable as pointed out in the Introduction. At a 3 V supply,

the TxIC consumes 180 mW at the maximum average power, and 120 mW at the

minimum output level1.

Figure 5.12 Measured TxIC current consumption.

The summary of the measured TxIC performances is shown in Table 5.1.

The TxIC of this work is compared to other published WCDMA TxIC designs

[26]-[35] as shown in Table 5.2. In terms of the level of integration, this work exhibits

1 To complete the picture, we should also estimate the power consumed by the digital portion of the

transmitter architecture. Implemented on a FPGA, the 66x interpolation of Figure 2.15 employs a multi-

stage polyphase architecture [93]. Approximately 100K gates are employed, of which 22% run at 7.7

MHz, 20% at 23 MHz, and 60% at 69 MHz. If this gate count is directly translated to a 0.15 μm CMOS

ASIC implementation, approximately 40mW of digital power consumption will result.

−80 −60 −40 −20 0

40

50

60

70

Cur

rent

con

sum

ptio

n (m

A)

Output CW power (dBm)

IFVGA gain control

Mixer gain control

RFVGAgain control

(with 3V supply) Pout,max

138

the simplicity of a homodyne architecture: it demands no external image-reject filter2

(IRF) or IF filter, and requires a single analog mixer and synthesizer. In addition, this

TxIC is among the most power efficient. Although no synthesizer is included, the

TxIC has uniquely integrated the high-speed DAC and the associated filtering

functions. It also features one of the most aggressive power reduction schemes for the

power backoff.

2 The IRF is the external RF filter that follows the up-conversion mixer for sideband removal. It is

required for the heterodyne transmitter if a single-sideband mixer is not implemented.

139

Table 5.1 Summary of Measured TxIC performances.

Parameter Measured Parameter Measured

Supply (V) 3.0 -42 (5MHz)

DC current (mA) 41–58

ACLR (dBc)

-51 (10MHz)

Carrier supp. (dBc) -35 -48.7 (typical)

Sideband supp. (dBc) -30.5 -38.6 (worst)

QPSK EVM (%rms) <1% -59.5 (no NQuantz.)

CW Pout (dBm) +9.3

Tx noise

(dBm/5MHz)

-86.8 (min)

WCDMA Pout (dBm) +5.5 -121.6 (max)

Dynamic range (dB) 90 -128.2 (no NQuantz.)

OIP3 (dBm) +16

Rx noise

(dBm/Hz)

-155.8 (min)

Occup. BW (MHz) 4.18 clkfdthru (dBm) -53

140

Table 5.2 Comparison of published WCDMA TxIC work.

5.3 Summary

The SiGe BiCMOS TxIC is completely characterized. It meets the WCDMA

requirements in all aspects, and achieves state-of-the-art level of integration as well as

power consumption.

This chapter, in part or in full, is a reprint of the material as it appears in 2004

IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical

Company/ Institutions [reference]

Arch. Ext.IF/

IRF?

Num. Analog

mix/ syn.

Gain Range(dB)

Integrated components

Max. Pout

(dBm)

Power Consump.

mA (V)

Mitsubishi [26] Y / Y 2 / 2 100 IF + RF +7 97 (3)

IBM[27] Y / Y 2 / 2 95 IF + RF +7 90 (3)

Mitsubishi [28] Y / Y 2 / 2 100 IF + RF, with 2 syn +7 63–84 (3)

TI [29]

Hetero.

Y / N 2 / 2 90 IF + RF, with 2 syn +6 67–79 (2.7)

Philips [30] N / N 2 / 1 81 IF + RF, with 1 syn +5.5 81–124 (2.6)

IBM [31]

Hetero. var. IF N / N 2 / 1 115 IF + RF +6.2 100 (2.85)

Swiss ETH [32] N / N 1 / 1 78 RF (no PA driver) -8 40.5 (2.5)

Seoul U. [33] N / N 1 / 1 50 RF, syn. & DAC +6 110 (3.3)

Swiss ETH [34] N / N 1 / 1 100 RF +2.5 45 (1.5)

Qualcomm [35]

Homo.

N / N 1 / 1 90 RF, synthesizer +10 71 (2.7)

UCSD (this work)

Hetero. dig. IF

N / N 1 / 1 90 RF, with DAC +5.5 40–60 (3)

141

Papers, and has been accepted for publication in IEEE Journal of Solid-State Circuits.

The dissertation author was the primary researcher and the first author listed in these

publications.

142

CHAPTER 6 Conclusions

The two motivations of this WCDMA handset transmitter IC research, as stated in the

Introduction, are high level of integration and low power consumption. They have

been addressed through an array of architecture and circuit innovations, which have

been experimentally verified. In conclusion, let us summarize the key milestones

achieved by this work, and suggest future research direction.

6.1 Key Research Results

We have developed a highly-integrated low-power TxIC in a 0.25 μm SiGe BiCMOS

process for WCDMA handset applications.

Improved digital-IF architecture was proposed with the following characteristics:

The architecture features an optimal frequency plan and a high-order-hold D/A

interface to effectively eliminate the off-chip IF filter typically associated with the

heterodyne architecture, and make the digital-IF approach simple/low-power

enough for handset applications. And since only one pair of RF mixer and

synthesizer is required to complete the up-conversion process, the scheme

essentially offers the architectural simplicity of a homodyne.

143

The digital-IF heterodyne architecture yields excellent EVM performance as the

digital modulator is inherently mismatch-free. The architecture is relatively free

from the homodyne performance issues such as LO leakage and excessive

mismatch. In other words, it enjoys the performance benefits of a heterodyne.

By shifting the D/A boundary as close to the antenna as possible, the architecture

will benefit fully from future CMOS deep submicron process migration.

Low-power circuit design techniques were derived as follows:

The SOH DAC features a dominantly capacitive load with ultra-fast HBT switch

devices. It also implements a capacitive divider network to further reduce power

consumptions. Therefore, high-speed D/A conversion is achieved with very low

bias current. The 8-bit 250 MHz SOH DAC consumes 24 mW with 3V supply.

The SSB mixer employs a translinear input stage to effectively scale back power

consumption for reduced gains. Fifty percent (50%) of the power is saved when

the mixer is in the low gain mode.

The RFVGA makes use of a power detector bias control to realize current-on-

demand. Linearity (ACLR) and compression point at the maximum output power

are improved significantly by 6 and 3.5 dB without any increase in quiescent

current consumption.

Volterra series analysis reveals a linearization technique by which intermodulation

distortion products can be substantially cancelled by optimal injection (feedback)

144

of the envelope signal. The theory predicts a further IMD3 reduction by 8 dB,

which is also confirmed by simulations.

Experimentations on the silicon TxIC chip have confirmed its correct functionalities in

all aspects, with state-of-the-art performance that meets WCDMA transmission

requirements. The TxIC chip of this work compares very favorably to other published

chips in terms of level of integration and power consumption.

6.2 Directions for Future Research

Industry is moving rapidly towards convergence of wireless standards onto a

single platform. This includes integration of cellular applications such as GSM/

EDGE/ WCDMA, position location technology like GPS, as well as the wireless

local area network (WLAN) applications such as 802.11a/b/g and Bluetooth [94].

While the digital-IF TxIC architecture proposed here works well with the

WCDMA standard, it would be intriguing to investigate its practicality and

efficiency to support multi-mode applications, where multiple frequency bands,

modulation schemes, and signal bandwidths are to be simultaneously supported.

Due to circuit slew rate limitations, conventional (ZOH) DAC suffers distortion

errors proportional to the square of the signal amplitudes [95]. The higher the

speed of operation, the more prominent the errors. Since the FOH DAC (which is

the basis of any higher-order-hold DAC’s as suggested in this dissertation) has a

slewing (ramp up/down) output waveform, the circuit is inherently less susceptible

to slewing errors. To study (or to demonstrate) its potential for ultra-high-speed

145

applications, it would be a very rewarding exercise to design and test a moderate-

resolution FOH DAC running at the GHz’s to 10’s of GHz range.

As suggested by the Volterra analysis, significant IMD cancellation can be

achieved by optimally injecting an envelope signal back into the RFVGA. To

examine the ultimate limits for this linearization technique, it should be attempted

on PA’s, where the signal levels are much higher, and the efficiencies are typically

quite low. The practicality over process and temperature variations, and for

wideband signal applications, should also be examined.

146

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