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Dynamic Thinning Strategy for Adaptive Nulling in Planar Antenna Arrays Paolo Rocca 1 and Randy L. Haupt 2 1 ELEDIA Research Group, DISI - University of Trento Via Sommarive 14, 38123, Trento, Italy - [email protected] 2 Applied Research Laboratory, The Pennsylvania State University, PO Box 30, State College, PA, USA 16804 - [email protected] AbstractAn approach for the suppression of undesired signals impinging on a planar array is presented in this paper. The procedure is based on a dynamic thinning enforced to the array to move sidelobe nulls. Towards this aim, each element of the array is equipped with a radio- frequency switch which is used to connect/disconnect the element to the feeding network. While changing the thinning sequences, the number of active elements is kept as constant as possible to maintain unaltered the antenna gain. A set of representative results is reported to show the effectiveness of the approach. 1. INTRODUCTION A well known and effective strategy which has been frequently used for the minimization of the sidelobe level (SLL) is based on the thinning of uniform arrays [1, 2]. In thinned arrays, some elements belonging to a periodic lattice are turned off to create a low sidelobe density taper on the antenna aperture while approximately maintaining the same main beam width of the original array. Such a reduction of the number of radiating elements allows a non- negligible simplification of the antenna layout and complexity of beam forming network. Moreover, a suitable thinning limits the costs of manufacturing, reduces the weight and the power consumption of the antenna system. The design of thinned planar arrays has been studied have been proposed in the scientific literature [3]-[9]. The first computationally effective approach is based on the use of randomly spaced elements [3] or statistical density tapering strategies [4]. More recently, numerical optimization techniques have been preferred by virtue of the large computational resources offered by modern personal computers and the ability of these procedures to deal with non-convex problems. Among them, approaches based on genetic algorithms [5], simulated annealing [6], and particle swarm optimizers [7] have been effectively used. To avoid the computational and convergence issues in the synthesis of large arrays with many elements, hybrid techniques [8, 9] and sub-optimal, but fast, deterministic strategies [10] have been exploited. Thinning avoids the problem of implementing a low sidelobe amplitude taper that requires weights each element. Often times, though, adaptive nulling is needed in addition to the low sidelobes, and adaptive strategies have been proposed [11]. Unfortunately, placing adaptive weights at each of the elements somewhat negates the advantages of doing the thinning in the first place. In this framework, this study proposes an innovative approach for adaptive thinned arrays able to suppress the unwanted signals in the sidelobe region. Starting from a conventional filled array configuration, a radio-frequency (RF) switch is used in the beam forming network for each element of the array. Accordingly, the thinned configuration is obtained by controlling the on-off sequence of the RF switches. In case of interference impinging on the antenna aperture, the thinning configuration changes until the unwanted signals are placed in nulls of the radiation pattern. In order to correctly receive the desired signal in the main lobe region, the number of elements which are “on” is kept as constant as possible between the different thinning configurations to prevent distortion to the main lobe. The paper is organized as follows. The synthesis problem is mathematically formulated in Section 2 and some preliminary results are shown in Section 3 in order to prove the effectiveness of the proposed approach. Finally, conclusions are drawn in Section 4. 2. MATHEMATICAL FORMULATION Without loss of generality for the application of the proposed approach, let us consider a concentric ring array laying on the y x plane with a single element at the center and elements uniformly spaced on each ring. Mathematically, the array factor is given by (1) where r N and n N are the number of rings and the number of elements in the n -th ring, respectively, n w is the element weight for the n -th ring, and n r is the radius of ring n . Moreover, λ π 2 = k is the free-space wave number, λ being the wavelength, and the couple of values ( ) φ ϑ, identifies the angular direction. The position of a generic i -th element on the antenna aperture is given by the radius of the ring to which the element belongs and the angular position as ( ) ( ) m n m n i i r r y x φ φ sin , cos , = , n m N m / ) 1 ( 2 = π φ . 978-1-4244-5128-9/10/$26.00 ©2010 IEEE 995
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Page 1: Dynamic Thinning Strategy for Adaptive Nulling in Planar ...inside.mines.edu/~rhaupt/conference papers/phased array...Dynamic Thinning Strategy for Adaptive Nulling in Planar Antenna

Dynamic Thinning Strategy for Adaptive Nulling in Planar Antenna Arrays

Paolo Rocca1 and Randy L. Haupt2

1 ELEDIA Research Group, DISI - University of Trento Via Sommarive 14, 38123, Trento, Italy - [email protected] 2 Applied Research Laboratory, The Pennsylvania State University,

PO Box 30, State College, PA, USA 16804 - [email protected] Abstract—An approach for the suppression of undesired signals impinging on a planar array is presented in this paper. The procedure is based on a dynamic thinning enforced to the array to move sidelobe nulls. Towards this aim, each element of the array is equipped with a radio-frequency switch which is used to connect/disconnect the element to the feeding network. While changing the thinning sequences, the number of active elements is kept as constant as possible to maintain unaltered the antenna gain. A set of representative results is reported to show the effectiveness of the approach. 1. INTRODUCTION A well known and effective strategy which has been frequently used for the minimization of the sidelobe level (SLL) is based on the thinning of uniform arrays [1, 2]. In thinned arrays, some elements belonging to a periodic lattice are turned off to create a low sidelobe density taper on the antenna aperture while approximately maintaining the same main beam width of the original array. Such a reduction of the number of radiating elements allows a non-negligible simplification of the antenna layout and complexity of beam forming network. Moreover, a suitable thinning limits the costs of manufacturing, reduces the weight and the power consumption of the antenna system. The design of thinned planar arrays has been studied have been proposed in the scientific literature [3]-[9]. The first computationally effective approach is based on the use of randomly spaced elements [3] or statistical density tapering strategies [4]. More recently, numerical optimization techniques have been preferred by virtue of the large computational resources offered by modern personal computers and the ability of these procedures to deal with non-convex problems. Among them, approaches based on genetic algorithms [5], simulated annealing [6], and particle swarm optimizers [7] have been effectively used. To avoid the computational and convergence issues in the synthesis of large arrays with many elements, hybrid techniques [8, 9] and sub-optimal, but fast, deterministic strategies [10] have been exploited. Thinning avoids the problem of implementing a low sidelobe amplitude taper that requires weights each element.

Often times, though, adaptive nulling is needed in addition to the low sidelobes, and adaptive strategies have been proposed [11]. Unfortunately, placing adaptive weights at each of the elements somewhat negates the advantages of doing the thinning in the first place. In this framework, this study proposes an innovative approach for adaptive thinned arrays able to suppress the unwanted signals in the sidelobe region. Starting from a conventional filled array configuration, a radio-frequency (RF) switch is used in the beam forming network for each element of the array. Accordingly, the thinned configuration is obtained by controlling the on-off sequence of the RF switches. In case of interference impinging on the antenna aperture, the thinning configuration changes until the unwanted signals are placed in nulls of the radiation pattern. In order to correctly receive the desired signal in the main lobe region, the number of elements which are “on” is kept as constant as possible between the different thinning configurations to prevent distortion to the main lobe. The paper is organized as follows. The synthesis problem is mathematically formulated in Section 2 and some preliminary results are shown in Section 3 in order to prove the effectiveness of the proposed approach. Finally, conclusions are drawn in Section 4. 2. MATHEMATICAL FORMULATION Without loss of generality for the application of the proposed approach, let us consider a concentric ring array laying on the yx − plane with a single element at the center and elements uniformly spaced on each ring. Mathematically, the array factor is given by (1) where rN and nN are the number of rings and the number of elements in the n -th ring, respectively, nw is the element weight for the n -th ring, and nr is the radius of ring n . Moreover,

λπ2=k is the free-space wave number, λ being the wavelength, and the couple of values ( )φϑ, identifies the angular direction. The position of a generic i -th element on the antenna aperture is given by the radius of the ring to which the element belongs and the angular position as ( ) ( )mnmnii rryx φφ sin,cos, = , nm Nm /)1(2 −= πφ .

978-1-4244-5128-9/10/$26.00 ©2010 IEEE 995

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Finally, { }nrnm NmNntUU ,...,1,,...,1);( === and )(tUnm is a rectangular pulse function which can assume

either the value 0 or 1 and mathematically models the behavior of the RF switch.

In order to minimize the interference level with an efficient adaptive strategy, a set of L thinning configurations are computed offline to allow the suppression of the unwanted signals from whatever direction of the secondary lobe region of more then a predefined threshold, minSSL , below the peak value of the main beam. For each thinned array,

lU , Ll ,...,1= , the directions where the following condition holds true

( ) min,, SLLUAF l ≤φϑ , ( ) ( )φϑφϑ ,, SLR∈ (2) ( )φϑ,SLR being the region outside the main beam, are

considered as null directions, ( )lnull

φϑ, , generated by the l -

th pattern. Different thinning configurations are chosen until

( ) ( )UL

l

lnullnull

1

,,=

= φϑφϑ covers the whole sidelobe region.

The L thinning sequences are then stored in a look up table. When the antenna is deployed in its operating environment and the performance (i.e., the signal to noise plus interference ration, SINR) of the system degrades, the sequence controlling the RF switches is dynamically changed among the L configurations until a sufficient value of SINR is obtained. 3. NUMERICAL RESULTS

As a preliminary result, let us consider a concentric ring array made of 8=rN rings. Half wavelength spacing is considered both between the rings and approximately between the elements in a ring. Figure 1 shows two different statistically thinned arrays obtained through the

( ) ( )[ ]∑∑==

++=nr N

mmmnnm

N

nn jkrtUwUAF

11

sinsinsincossincosexp)(1,, φϑφφϑφφϑ (1)

(a) (b) Figure 1 – Statistically designed [4] thinned array configuration.

(a) (b)

Figure 2 – Directivity patterns for o0=φ and [ ]oo 90,0∈ϑ obtained from the thinning configuration of Fig. 1.

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procedure described in [4] when considering as reference a Taylor distribution with dBSLL 30−= and 5=n . It is simple to observe that if dBSLL 35min −= the corresponding

patterns, whose φ -cuts for o0=φ and [ ]oo 90,0∈ϑ are reported in Fig. 2, allows to cover different part of the sidelobe region as highlighted by the darker strips in Fig. 2(a) and Fig. 2(b) representing the null regions, ( )l

nullφϑ, ,

2,1=l . 4. CONCLUSIONS An innovative approach for the suppression of undesired signal based on the dynamic thinning of planar arrays has been presented. A set of RF switches has been used to adaptively control the on-off sequence to move the nulls of the corresponding radiation pattern. Some preliminary results have shown the effectiveness of the proposed approach. REFERENCES [1] R. J. Mailloux, Phased Array Antenna Handbook (2nd ed). Norwood, MA: Artech House, 2005. [2] T. A. Milligan, Modern Antenna Design. New York: McGraw-Hill, 1985. [3] Y. T. Lo, “A mathematical theory of antenna arrays with randomly spaced elements,” IEEE Trans. Antennas Propag., vol. 12, no. 3, pp. 257-268, May 1964. [4] M. I. Skolnik, J. W. Sherman, and F. C. Ogg, “Statistically designed density-tapered arrays,” IEEE Trans. Antennas Propag., vol. 12, no. 4, pp.408-417, Jul. 1964.

[5] R. L. Haupt, “Thinned arrays using genetic algorithms,” IEEE Trans. Antennas Propag., vol. 42, no. 7, pp. 993-999, Jul. 1994. [6] M. Vicente-Lozano, F. Ares, and E. Moreno, “Pencil-beam pattern synthesis with a uniformly excited multi-ring planar antenna,” IEEE Antennas Propag. Mag., vol. 42, no. 6, pp. 70-74, Dec. 2000. [7] J. Nanbo and Y. Rahmat-Samii, “Advances in particle swarm optimization for antenna designs: Real-number, binary, single-objective and multiobjective implementations,” IEEE Trans. Antennas Propag., vol. 55, no. 3, pp. 556-567, Mar. 2007. [8] M. Donelli, A. Martini, and A. Massa, “A hybrid approach based on PSO and Hadamard difference sets for the synthesis of square thinned arrays,” IEEE Trans. Antennas Propag., vol. 57, no. 8, 2491-2495, Aug. 2009. [9] S. Caorsi, A. Lommi, A. Massa, and M. Pastorino, “Peak sidelobe reduction with a hybrid approach based on GAs and difference sets,” IEEE Trans. Antennas Propag., vol. 52, no. 4, pp. 1116-1121, Apr. 2004. [10] D. G. Leeper, “Isophoric arrays - massively thinned phased arrays with well-controlled sidelobes,” IEEE Trans. Antennas Propag., vol. 47, no. 12, pp. 1825-1835, Dec 1999. [11] J. T. Mayhan, “Thinned array configurations for use with satellite-based adaptive antennas,” IEEE Trans. Antennas Propag., vol. 28, no. 6, pp. 846-856, Nov. 1980.

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