Genetic Algorithm Driven Linear Antenna Array Sidelobe Level Reduction

Sanmoy Bandyopadhyay, A. Chatterjee, A. Datta
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引用次数: 0

Abstract

The main purpose of antenna array synthesis is to get the antenna array radiation pattern (AARP) according to the requirement. In this work the main goal is to synthesise the array radiation pattern by reducing the corresponding sidelobe level (SLL). For the purpose genetic algorithm (GA) based optimization technique has been used, with a motive to generate new amplitude values for synthesising the radiation pattern. For optimization purpose in this work a novel cost function has been established in order to get the desired SLL. The newly generated amplitude obtained based on the proposed cost function has been put into the array factor formula in order to get the new array radiation pattern. Through the experiment it has been found that the new formulation of cost function able to reduce the SLL more efficiently compared to other algorithm exists in literature.
遗传算法驱动线性天线阵旁瓣电平降低
天线阵综合的主要目的是得到符合要求的天线阵辐射方向图(AARP)。在这项工作中,主要目标是通过降低相应的旁瓣电平(SLL)来合成阵列辐射方向图。为此,采用了基于遗传算法(GA)的优化技术,以产生新的幅值来合成辐射方向图。为了达到优化的目的,本文建立了一种新的成本函数,以获得期望的最小最小损失。将基于所提出的代价函数得到的新产生的幅值代入阵列因子公式,从而得到新的阵列辐射方向图。通过实验发现,与文献中已有的算法相比,新的代价函数公式能够更有效地降低SLL。
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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