基于改进粒子群算法的非各向同性单元同心圆天线阵合成

D. Mandal, R. Kar, S. Ghoshal
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引用次数: 3

摘要

本文采用改进粒子群优化(IPSO)进化优化技术,对具有非各向同性单元、无中心单元馈电和有中心单元馈电的三环同心圆天线阵(CCAA)的复杂合成进行了研究。结果表明,通过选择一个控制阵列模式多个参数的适应度函数,并适当设置适应度函数中的权重因子,可以达到很好的效果。对于每个优化设计,以最大旁瓣电平(SLL)降低为目标,确定最优电流激励权值和最优半径。大量的计算结果表明,具有非各向同性元件的中心元件进料的CCAA设计比相同的不具有中心元件进料的CCAA设计产生更多的SLL降低。此外,在连续三个环中包含4,6和8个元素以及中心元素馈送的特定CCAA产生了最小的SLL (- 49.29 dB)。采用标准粒子群算法(PSO)对IPSO算法的结果进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Particle Swarm Optimization based synthesis of Concentric Circular Antenna Array with non-isotropic elements
In this paper, an evolutionary optimization technique, Improved Particle Swarm Optimization (IPSO) is adopted for the complex synthesis of three-ring Concentric Circular Antenna Arrays (CCAA) with non-isotropic elements and without and with central element feeding. It is shown that by selection of a fitness function which controls more than one parameter of the array pattern, and also by proper setting of weight factors in fitness function, one can achieve very good results. For each optimal design, optimal current excitation weights and optimal radii are determined having the objective of maximum Sidelobe Level (SLL) reduction. The extensive computational results show that the CCAA designs having central element feeding with non-isotropic elements yield much more reduction in SLL as compared to the same not having central element feeding. Moreover, the particular CCAA containing 4, 6 and 8 number of elements in three successive rings along with central element feeding yields grand minimum SLL (−49.29 dB). Standard Particle Swarm Optimization (PSO) is adopted to compare the results of the IPSO algorithm.
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