Large array synthesis using Invasive Weed Optimization

L. Pappula, D. Ghosh
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引用次数: 12

Abstract

This paper discusses the application of nature-inspired optimization techniques for the synthesis of large arrays of antennas. Here the technique of Invasive Weed Optimization (IWO) is chosen for the optimization of the amplitude and/or phase of the excitation at the individual elements of the array. The result of such optimization is performance improvement of the array in terms of minimization of sidelobe levels (SLL) and positioning of nulls at desired locations as compared to the uniformly excited linear array. It is seen that even large arrays of 100 elements can be effectively synthesized using this proposed algorithm.
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入侵杂草优化的大阵列合成
本文讨论了自然优化技术在大型天线阵综合中的应用。这里选择入侵杂草优化技术(IWO)来优化阵列各个单元的激励幅度和/或相位。与均匀激励线性阵列相比,这种优化的结果是阵列在最小化旁瓣电平(SLL)和在期望位置定位空值方面的性能改进。可以看出,使用该算法可以有效地合成100个元素的大型数组。
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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