Performance Enhancement for Adaptive Beam-Forming Application Based Hybrid PSOGSA Algorithm  

Performance Enhancement for Adaptive Beam-Forming Application Based Hybrid PSOGSA Algorithm

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作  者:Ahmed Magdy Osama M. EL-Ghandour Hesham F. A. Hamed 

机构地区:[1]Department of Electrical Engineering, Minia University, Minia, Egypt [2]Department of Electronics, Communications and Computer Engineering, Helwan University, Cairo, Egypt

出  处:《Journal of Electromagnetic Analysis and Applications》2015年第4期126-133,共8页电磁分析与应用期刊(英文)

摘  要:Recently researchers were interested in hybrid algorithms for optimization problems for several communication systems. In this paper, a novel algorithm based on hybrid PSOGSA technique (combination of Gravitational Search Algorithm and Particle Swarm Optimization) is presented to enhance the performance analysis of beam-forming for smart antennas systems using N elements for Uniform Circular Array (UCA) geometry. Complex excitations (phases) of the array radiation pattern are optimized using hybrid PSOGSA technique for a set of simultaneously incident signals. Our results have shown tremendous improvement over the previous work was done using Uniform Linear Array (ULA) geometry and standard GSA in terms of normalized array factor and computational speed for normalized fitness values.Recently researchers were interested in hybrid algorithms for optimization problems for several communication systems. In this paper, a novel algorithm based on hybrid PSOGSA technique (combination of Gravitational Search Algorithm and Particle Swarm Optimization) is presented to enhance the performance analysis of beam-forming for smart antennas systems using N elements for Uniform Circular Array (UCA) geometry. Complex excitations (phases) of the array radiation pattern are optimized using hybrid PSOGSA technique for a set of simultaneously incident signals. Our results have shown tremendous improvement over the previous work was done using Uniform Linear Array (ULA) geometry and standard GSA in terms of normalized array factor and computational speed for normalized fitness values.

关 键 词:SMART ANTENNAS UCA OPTIMIZATION TECHNIQUES BEAM-FORMING 

分 类 号:R73[医药卫生—肿瘤]

 

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