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Improved Particle Swarm Optimization Based Hyper Beamforming of Linear Antenna Arrays

Gopi Ram 1, Durbadal Mandal 1, Rajib kar 1, and Sakti Prasad Ghoshal 2
1. National Institute of Technology, Department of ECE, Durgapur, India
2. National Institute of Technology, Department of EE, Durgapur, India
Abstract—In this paper optimized hyper beamforming method is presented based on hyper beam exponent parameter for linear antenna arrays. Hyper beam is derived from sum and difference beam patterns of the array. As compared to conventional hyper beamforming of linear antenna array, real coded genetic algorithm (RGA), particle swarm optimization (PSO), and improved particle swarm optimization (IPSO) applied to the hyper beam of the same array can achieve much greater reduction in SLL and much more improved first null beam width (FNBW), keeping the same value of hyper beam exponent. The optimized hyper beam is achieved by optimization of current excitation weights and uniform inter-element spacing. The approach is illustrated through 10-, 14-, and 20-element linear antenna arrays. Various results are presented to show the advantage of this approach considering maximum SLL reduction and much more improved FNBW.

Index Terms—hyper beam, linear antenna arrays, RGA, PSO, IPSO, SLL, FNBW

Cite: Gopi Ram, Durbadal Mandal, Rajib kar, and Sakti Prasad Ghoshal, "Improved Particle Swarm Optimization Based Hyper Beamforming of Linear Antenna Arrays," International Journal of Signal Processing Systems, Vol. 1, No. 2, pp. 152-158, December 2013. doi: 10.12720/ijsps.1.2.152-158
 

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