Application of improved Particle Swarm Optimization technique for thinning of concentric hexagonal array antenna

R. Bera, D. Mandal, R. Kar, S. Ghoshal
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引用次数: 4

Abstract

In this paper, the optimal thinning of two-ring Concentric Hexagonal Array (CHA) of uniformly excited isotropic antennas which can generate directive beam with minimum relative Side Lobe Level (SLL) is described. The Improved Particle Swarm Optimization (IPSO) method, which represents a new approach for optimization problems in electromagnetic, is used in the optimization process. To determine an optimal set of `ON-OFF' elements that provide a radiation pattern with maximum SLL reduction, the IPSO algorithm is used. The simulation results show that the number of antenna array elements can be brought down more than 50% of total isotropic elements with simultaneous reduction in Side Lobe Level (SLL) with an approximately fixed first null beam width (FNBW). Particle Swarm Optimization (PSO), as well is also adopted to compare the results of above IPSO.
改进粒子群优化技术在同心圆六方阵天线减薄中的应用
本文研究了均匀激发各向同性天线双环同心六角形阵列(CHA)的最佳减薄方法,该方法能产生最小相对旁瓣电平(SLL)的定向波束。在优化过程中采用了改进粒子群算法(IPSO),这是一种求解电磁优化问题的新方法。为了确定一组最优的“ON-OFF”元件,以提供最大的SLL减少辐射模式,使用IPSO算法。仿真结果表明,当第一零波束宽度(FNBW)近似固定时,在降低旁瓣电平(SLL)的同时,天线阵元数可减少各向同性总元数的50%以上。并采用粒子群算法(Particle Swarm Optimization, PSO)对上述算法的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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