Phase Control Array Synthesis Using Constrained Accelerated Particle Swarm Optimization
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Phase Control Array Synthesis Using Constrained Accelerated Particle Swarm Optimization

Authors: Mohammad Taha, Dia abu al Nadi

Abstract:

In this paper, the phase control antenna array synthesis is presented. The problem is formulated as a constrained optimization problem that imposes nulls with prescribed level while maintaining the sidelobe at a prescribed level. For efficient use of the algorithm memory, compared to the well known Particle Swarm Optimization (PSO), the Accelerated Particle Swarm Optimization (APSO) is used to estimate the phase parameters of the synthesized array. The objective function is formed using a main objective and set of constraints with penalty factors that measure the violation of each feasible solution in the search space to each constraint. In this case the obtained feasible solution is guaranteed to satisfy all the constraints. Simulation results have shown significant performance increases and a decreased randomness in the parameter search space compared to a single objective conventional particle swarm optimization.

Keywords: Array synthesis, Sidelobe level control, Constrainedoptimization, Accelerated Particle Swarm Optimization.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075661

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[1] B. D. Van Veen and K. M. Buckley, Beamforming: A versatile approach to spatial filtering, IEEE Signal processing magazine, VOL. 5, No. 2, PP. 4-24, 1988
[2] H. Steyscal, R. A. Shore and R. L. Haupt, Methods for null control and their effects on radiation pattern, IEEE Transactions on Antenna and Propagation, VOL. 34, No. 3, PP. 404-409, Mar, 1986
[3] K. Guney and M. Onay, Amplitude only pattern nulling of linear antenna arrays with use of bees algorithm, Progress in electromagnerics research, PIER 70, PP. 21-36, 2007
[4] M. Mouhamadou, P. Armand, P. Vandon and M. Rammal, Interference suppression of the linear array controlled by phase with the use of SQP algorithm, Progress In electromagnetic research, PIER 59, PP. 251- 256,1997
[5] D. Karaboga, K. Guney and A. Akdagli, Antenna array pattern nulling by controlling both the amplitude and phase using modified touring ant colony optimization algorithm, Int, Journal of electronics, VOL. 91, PP.241-251, 2004
[6] C. Khodier and M. Christodoulou, Linear array geometry synthesis with minimum sidelobe level control using particle swarm optimization, IEEE Transactions on Antennas and propagation, VOL. 8, NO. 53, PP. 2674-2679, Aug. 2005
[7] H. Lebret and S. Boyd: Antenna Array Pattern Synthesis via Convex Optimization, IEEE transactions on signal processing, VOL. 45, NO. 3,pp. 526-532, (1997)
[8] S. J. Blank and M. F. Hutt : Antenna Array Synthesis Using Derivative, Non-Derivative and Random Search Optimization, Sarnoff Symposium, pp. 1-4 (Apr, 2008)
[9] J. kennedy and R. C. Eberhart, Particle swarm optimization, Proc. Of The IEEE Int. Conf. on Neural Networks, PP. 1942-1948, Piscataway, NJ,1995
[10] J. Robinson and Y. R. Sami, Particle Swarm Optimization in electromagenetics, IEEE transaction, Antenna and Propagation, VOL. 2, No. 52,PP. 397-407, 2004
[11] V. Zuniga, A. T. Erdogan and T. Arsalan, Adaptive Radiation Pattern optimization for antenna arrays by phase perturbation particle swar optimization, NASA/ESA Conf. on adaptive hardware and systems, PP. 209 - 214, Anaheim, CA, USA, June, 2010
[12] C. Khodier and M. Christodoulou, Linear array geometry synthesis with minimum sidelobe level control using particle swarm optimization, IEEE Transactions on Antennas and propagation, VOL. 8, NO. 53, PP. 2674- 2679, Aug., 2005
[13] M. Shihab, Y. Najjar, N. Dib and M. Khodier, Design of non uniform circular antenna arrays using particle swarm optimization, Journal of electrical engineering, VOL. 59, NO. 4, PP. 216-220, 2008
[14] S. Yang, S. Deb, and S. Fong, Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications, NDT2011, CCIS 136, Springer, PP. 53-66, 2011
[15] F. Gross, Smart Antennas for Wireless Communications, McGraw-Hill Professional, 1st Ed., 2005
[16] H. Xiaohui and R. Eberhart, Constrained Nonlinear Optimization Problems with Particle Swarm Optimization, 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI), PP. 203-206, 2002
[17] Z. Michalewicz and M. Schoenauer, Evolutionary Algorithms for Constrained Parameter Optimization Problems, Evolutionary Computation, VOL. 4, NO. 1, PP. 1-32, 1996
[18] A. E. Smith and D. W. Coit, In T. Baek, D. Fogel and Z. Michalewicz (Eds.), Hanbook of evolutionary computation, Oxford University Press and Institute of physics publishing, Bristol, U.K., Chapter C5.2
[19] K. Parsopoulos and M. Vrahatis, Particle Swarm Optimization Method for Constrained Optimization Problems, Proceeding of the Euro- International Symposium on Computational Intelligence , 2002
[20] S. Pal, A. Basak, S. Das and A. Abraham, Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm, International Conference of Soft Computing and Pattern Recognition, PP. 161 - 166, SOCPAR, Dec., 2009.