基于遗传算法的强干扰环境下自适应线阵天线方向图优化

Wan Jiancheng, Qiu Hui, C. Jianming
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引用次数: 6

摘要

在信息化战争的背景下,战场电磁环境变得越来越复杂。强干扰信号严重影响通信质量和信息的可靠性。为了减弱甚至消除无用信号对所需信号的影响,在强干扰环境下,利用遗传算法对元件电流幅值进行优化,获得自适应线阵天线所需的辐射方向图。详细介绍了系统的结构、辐射方向图的构造和遗传算法的应用,并通过仿真实例验证了遗传算法的有效性。其优点是,优化后的幅值可直接用于工程中,无需进一步离散化;最大幅值与最小幅值之比适中,便于天线馈电。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Adaptive Linear Array Antenna Pattern Under Intensive Interference Environment Using Genetic Algorithm
Battlefield electromagnetic environment has become more and more complex under the background of information war. Strong interfering signals have seriously affected the quality of communication and reliability of information. To weaken or even eliminate the effect of the unwanted signal to the wanted one, genetic algorithm (GA) is utilized to optimize element current amplitudes in obtaining the needed radiation pattern of adaptive linear array antenna under intensive interference environment. Details on structure of the system, radiation pattern formulation, and application of the genetic algorithm are given, and simulation examples are also demonstrated to show the effectiveness of the GA approach. advantages are such that the optimized amplitudes can be directly used in the engineering without further discretization, and that the ratio of maximum amplitude to minimum one is moderate which makes it easy to feed the antenna.
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