Dynamic phase-only array beam control using a genetic algorithm

R. Haupt, J. M. Johnson
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引用次数: 9

Abstract

This paper describes two approaches to evolvable antenna array beams. The first approach uses a genetic algorithm for adaptive phase-only nulling with phased arrays. A genetic algorithm adjusts some of the least significant bits of the beam steering phase shifters in order to minimize the total output power. Using a few bits for nulling speeds convergence of the algorithm and limits pattern distortions. Various results are presented to show the advantages and limitations of this approach. A second problem is a switched beam linear array in which two beams with specified shapes, a narrow beam and a wide beam, are to be produced. The goal of the design effort is to determine a set of complex excitation coefficients such that switching between beams is accomplished by changes in the phase weights alone. Excellent results are obtained by simultaneous, multi-objective optimization based design using a GA instead of sequential GA optimization for the narrow and wide beam cases individually.
基于遗传算法的动态纯相阵列波束控制
本文介绍了可演化天线阵列波束的两种处理方法。第一种方法使用遗传算法对相控阵进行自适应相位零化。遗传算法调整波束转向移相器的一些最低有效位,以最小化总输出功率。使用少量的位进行零化,加快了算法的收敛速度,限制了模式失真。各种结果显示了这种方法的优点和局限性。第二个问题是开关波束线性阵列,其中将产生具有特定形状的两束,窄波束和宽波束。设计工作的目标是确定一组复杂的激励系数,使光束之间的切换仅通过相位权重的变化来完成。采用遗传算法代替序贯遗传算法分别对窄波束和宽波束进行并行多目标优化设计,获得了较好的结果。
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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