基于疯狂度的粒子群优化方法合成薄同心六角形天线阵列

R. Bera, D. Mandal, S. Ghoshal, R. Kar
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引用次数: 2

摘要

本文研究了均匀激发各向同性天线的同心六角形阵列(CHA)的最佳减薄方法,该方法可以产生具有最小相对旁瓣电平(SLL)的定向波束。将基于疯狂度的粒子群优化(CRPSO)方法应用于优化过程中,该方法代表了一种求解电磁学优化问题的新方法。CRPSO用于确定一组最佳的“ON-OFF”元件,以提供最大的SLL减少的辐射图。仿真结果表明,当第一零波束宽度(FNBW)近似固定时,天线阵元数可减少到各向同性总元数的60%。采用传统的粒子群算法(PSO)对上述算法的结果进行比较。
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Thinned concentric hexagonal antenna array synthesis using Craziness based Particle Swarm Optimization
This paper describes optimal thinning of Concentric Hexagonal Array (CHA) of uniformly excited isotropic antennas which can generate directive beam with minimum relative Side Lobe Level (SLL). The Craziness Based Particle Swarm Optimization (CRPSO) method, which represents a new approach for optimization problems in electromagnetics, is used in the optimization process. The CRPSO is used to determine an optimal set of `ON-OFF' elements that provide a radiation pattern with maximum SLL reduction. The simulation results show that the number of antenna array elements can be brought down to 60% of total isotropic elements with simultaneous reduction in SLL with an approximately fixed first null beam width (FNBW). Conventional Particle Swarm Optimization (PSO) is also adopted to compare the results of above CRPSO.
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