Digital Modulation Lecture 10sloyka/elg3175/Lec_10_ELG3175.pdf · Digital Modulation On-Off keying...

Post on 13-Jun-2020

4 views 0 download

transcript

Digital Modulation

On-Off keying (OOK), or amplitude shift keying (ASK)

Phase shift keying (PSK), particularly binary PSK (BPSK)

Frequency shift keying

Typical spectra

Modulation/demodulation principles

Main difference between digital and analog systems: goal of

transmission.

Advantages of digital modulation:

More flexibility through DSP (processing, services, etc.)

Noise/interference immunity; security

Fits to computer/data communications

Lecture 10

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 1(20)

Baseband Binary Modulation• Binary data representation: 0 or 1.

• Unipolar modulation: high level (e.g., 5V) / zero, or 1/0

• Bipolar modulation: +high level / -high level, or +1/-1

1

b

RT

= bit (data) rate, bit/s

L.W. Couch II, Digital and Analog Communication Systems, Prentice Hall, 2001.

NRZ

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 2(20)

Amplitude Shift Keying (ASK)• Switch on-off the carrier:

• Signal representation:

• Is it similar to something?

• Signal spectrum?

( ) ( ) ( )cos 2c c

x t A m t f t= π

( ) 1 or 0m t =

L.W. Couch II, Digital and Analog Communication Systems, Prentice Hall, 2001.

binary ASK:

general case: a fixed number of levels

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 3(20)

L.W

. C

ouch II,

Dig

ital and A

nalo

g C

om

munic

ation S

yste

ms, P

rentice H

all, 2001.

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 4(20)

Amplitude Shift Keying (ASK)

• Signal spectrum (FT):

• Square-wave message:

• Random message PSD:

• How to detect?

( ) ( ) ( )2

c

x m c m c

AS f S f f S f f= − + +

0

20

( ) ( ),

1 1sinc ,

2 2 2 2

m n

n

j n

nb

S f c f nf

n Rc e f

T

+∞

=−∞

π

= δ −

= = =

L.W

. C

ouch II,

Dig

ital and A

nalo

g C

om

munic

ation S

yste

ms, P

rentice H

all, 2001.

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 5(20)

Binary Phase Shift Keying

• BPSK signal representation:

where is bipolar message.

• Another form of the BPSK signal ->

( ) ( )cos ( )c c

x t A t m t= ω + ∆ϕ⋅

( ) 1m t = ±

( ) cos cos

sin ( )sin

c c

c c

x t A t

A m t t

= ∆ϕ ω −

− ∆ϕ⋅ ω

L.W. Couch II, Digital and Analog Communication Systems, Prentice Hall, 2001.

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 6(20)

Binary Phase Shift Keying

• Digital modulation index:

• Important special case (random message)

• Compare with ASK!

• How to detect?

2

d

∆ϕβ =

π

1d

β =

L.W. Couch II, Digital and Analog Communication Systems, Prentice Hall, 2001.

PSD

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 7(20)

Detection of BPSK

• Same as analog PM

• Add a quantizer (sign(*) function) to improve performance

(noise immunity)

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka

sign(.)out (+/-1)

8(20)

Frequency Shift Keying

• Discontinuous FSK: ( )( )

( )1 1

2 2

cos , mark (1)

cos , space (0)

c

c

A tx t

A t

ω + θ=

ω + θ

Not popular (spectral noise + PLL problems)

L.W. Couch II, Digital and Analog Communication Systems, Prentice Hall, 2001.

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 9(20)

Frequency Shift Keying

• Continuous FSK:

L.W. Couch II, Digital and Analog Communication Systems, Prentice Hall, 2001.

( ) ( )0

cos

t

c cx t A t m d

= ω + ∆Ω τ τ

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 10(20)

Pulse-Amplitude Modulation (PAM)

• Baseband modulation (no carrier yet)

• Baseband signal represents digital data (e.g. binary)

• PAM: a conversion of an analog signal to a pulse-type signal in

which the pulse amplitude carriers the analog information.

• This is the 1st step in converting an analog signal (waveform) to a

digital signal.

1 1

1

... ... ( ) ( )

n

n n k

k

b b A A x t A s t kT

=

→ → = −∑

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 11(20)

Pulse-Amplitude Modulation

• Based on the sampling theorem: analog band-limited (to Fmax

)

signal can be represented by its samples taken at

• PAM provides pulse-like waveform that contains the same

information as the original analog signal. Pulse rate [pulses/s] is

the same as fs .

• Pulse shape can be any. Discuss rectangular pulse waveform

first.

• Two types of sampling: natural sampling (gating) and

instantaneous sampling (flat-top or sample-and-hold).

max2

sf F≥

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 12(20)

Natural Sampling (Gating)

• The sampled (PAM) signal is

where

( ) ( ) ( ),

( )

s

s

k

x t s t x t

t kTs t

=−∞

=

− = Π τ ∑

max1/ 2

s sf T F= ≥

( )sx t

( )x t

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 13(20)

Natural Sampling (Gating): Spectrum

• Spectrum (FT) of the sampled (PAM) signal is

where is the duty cycle of s(t).

[ ] ( )( ) ( ) sinc( ) ,sx s x s

k

S f FT x t d kd S f kf

=−∞

= = −∑

/s

d T= τ

original signal spectrum sampled signal spectrum

( )x

S f

( )sx

S f

sinc( )d kd⋅

( )xd S f⋅

similar to ideal (delta-function) sampling?

Example:

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 14(20)

Natural Sampling: Proof

• Start with

• Find Fourier series of s(t):

• FT of s(t) is

• Finally,

• This concludes the proof.

• How to recover (demodulate) the original signal?

( ) ( ) ( ) ( ) ( )* ( )s

s x x sx t s t x t S f S f S f= ↔ =

( ) , sinc( )sjn t

n n

n

s t c e c d nd

ω

=−∞

= = ⋅∑

( ) ( )s n s

n

S f c f nf

=−∞

= δ −∑

( ) ( )* ( ) ( )sx x s n x s

n

S f S f S f c S f nf

=−∞

= = −∑

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 15(20)

Instantaneous Sampling

• Also known as flat-top PAM or sample-and-hold.

• The sampled signal is

( ) ( )

* ( ) ( )

ss s

k

s s

k

t kTx t x kT

tx kT t kT

=−∞

=−∞

− = Π τ

= Π δ − τ

( )x t

( )sx t

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 16(20)

Instantaneous Sampling: Spectrum

• The sampled signal spectrum (FT) is

( )1

( ) ( ) , ( ) sinc( )sx x s

s k

S f H f S f kf H f fT

=−∞

= − = τ ⋅ τ∑

Proof – homework. How to recover (demodulate) x(t) ?

original signal spectrum sampled signal spectrum

( )x

S f

( )sx

S f

sinc( )d f⋅ τ

( )sinc( )x

d f S f⋅ τ ⋅

Example:

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 17(20)

Baseband PAM: Generic Case

• Basic pulse shape is not necessarily rectangular. The

information is represented by the pulse amplitude Am

.

• M-ary PAM signal waveform:

• s(t) – signal waveform, T – symbol interval, M – the number of

symbols.

( ) ( ), 1,2,... , 0m mx t A s t m M t T= = ≤ ≤

2log [bits]bn M=

• The information transmitted by

one symbol:

• Transmitted signal sequence

T

( )s t

t

0

generic signal waveform

( ) ( )T k

k

x t A s t kT= −∑

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 18(20)

PAM: Energy, Spectrum

• Baseband signal energy:

• Depends on m.

• Bandpass PAM signal:

• Its spectrum (FT):

• It is DSB-SC signal! The bandwidth is twice of that of baseband

signal.

• Bandpass signal energy:

• Similar modulation formats: PPM, PWM.

2 2 2

0 0

( ) , ( )

T T

m m m s sE x t dt A E E s t dt= = =∫ ∫

( ) ( ) cos , 1, 2,... , 0m m cx t A s t t m M t T= ω = ≤ ≤

( )( ) ( ) ( )2m

m

x s c s c

AS f S f f S f f= − + +

22

0

( )2

T

mm m s

AE x t dt E= =∫

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 19(20)

Summary

Basic digital modulation formats. Unipolar and bipolar NRZ

baseband signals. ASK (OOK), PSK and FSK. Spectra and

bandwidth.

PAM. Instantaneous and flat-top sampling. Spectra of

sampled signals. Recovery (demodulation) of the original

signal. Generic form of a PAM signal.

Homework: Reading: Couch, 3.1, 3.2, 5.9. Study carefully all

the examples, make sure you understand and can solve them

with the book closed.

22-Mar-17 Lecture 10, ELG3175 : Introduction to Communication Systems © S. Loyka 20(20)