Concentric Circular Antenna Array synthesis using a differential Invasive Weed Optimization algorithm

S. Pal, Aniruddha Basak, Swagatam Das, A. Abraham, I. Zelinka
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引用次数: 11

Abstract

Concentric Circular Antenna Array (CCAA) has several interesting features that makes it indispensable in mobile and communication applications. Here we have considered a uniform arrangement of elements where the inter-element spacing is kept half a wavelength. The main aim is to reduce the sidelobe levels and the primary lobe beamwidth as much as possible. Central to our design is a hybridization of two prominent metaheuristics of current interest namely the Invasive Weed Optimization (IWO) and Differential Evolution (DE). The results of the DIWO algorithm have been shown to perform better then other state-of-the-art metaheuristics like the Particle Swarm Optimization (PSO), DE and IWO.
基于差分入侵杂草优化算法的同心圆天线阵列合成
同心圆天线阵列(CCAA)有几个有趣的特点,使其在移动和通信应用中不可或缺。这里我们考虑了元素的均匀排列,其中元素之间的间距保持在半个波长。其主要目的是尽可能降低副瓣电平和主瓣波束宽度。我们设计的核心是两个突出的当前感兴趣的元启发式杂交,即入侵杂草优化(IWO)和差异进化(DE)。结果表明,DIWO算法比粒子群优化(PSO)、DE和IWO等其他最先进的元启发式算法表现得更好。
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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