Realization of compact arrays with low side lobes using Biogeography Based Optimization

B. Appasani, N. Gupta
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引用次数: 2

Abstract

This paper presents a novel approach for synthesizing compact linear arrays with low side lobes for specified beam widths using Biogeography Based Optimization (BBO). BBO is applied to synthesize compact arrays with low side lobes for a given beam width and element spacing. The element spacing is based on minimal spacing criteria to avoid coupling between the elements. The simulation is performed for a 20 element array with different beam widths and spacing criteria. Results obtained are compared with other algorithms such as Modified Cuckoo Search (MCS) and Fire-fly algorithms (FA). especially in terms of size reduction and side lobe reduction.
基于生物地理学优化的低侧瓣紧凑阵列的实现
提出了一种基于生物地理优化(BBO)的低侧瓣紧凑线性阵列合成方法。在给定波束宽度和单元间距的条件下,BBO被用于合成具有低侧瓣的紧凑阵列。元素间距基于最小间距标准,以避免元素之间的耦合。对具有不同波束宽度和间距准则的20元阵列进行了仿真。并对修正布谷鸟搜索(MCS)和萤火虫搜索(FA)等算法进行了比较。尤其是在尺寸减小和旁瓣减小方面。
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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