Swarm Optimization Based Side Lobe Reduction in Time Modulated Linear Antenna Arrays

G. Ram, D. Mandal, R. Kar, S. P. Ghosal
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Abstract

In this paper evolutionary optimization based improved particle swarm optimization with wavelet mutation (IPSOWM) is used for the improvement of the radiation performance of time modulated linear antenna arrays. In this paper optimal side lobe reduction is achieved with optimized uniform inter-element spacing and optimal switching time sequence of each element. Real coded genetic algorithm (RGA) and conventional particle swarm optimization (PSO) is also used for comparison of results. The approach is illustrated through 32-element. Various results are presented to show the advantage of IPSOWM approach considering maximum side lobe reduction even amplitude excitation weight is uniform.
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基于群优化的时调制线性天线阵旁瓣抑制
本文将基于进化优化的小波突变改进粒子群优化算法(IPSOWM)用于改进时调线性天线阵列的辐射性能。本文利用最优的均匀元间距和最优的各元切换时间序列来实现最优的旁瓣抑制。采用实编码遗传算法(RGA)和传统粒子群算法(PSO)对结果进行比较。该方法通过32个元素来说明。各种结果表明,考虑最大旁瓣减小,即使振幅激励权是均匀的,ipsom方法具有优势。
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