基于疯狂度的粒子群优化线性天线阵宽零点控制

D. Mandal, Randheer Kumar, R. Kar, S. Ghoshal
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引用次数: 6

摘要

本文提出了一种进化的群体智能技术;针对对称线性天线阵在特定方向上的辐射方向图的消去问题,提出了疯狂粒子群算法(CRPSO)。通过对元件电流振幅权值进行最佳扰动,使其在主梁周围具有对称零,从而实现多个宽零。通过不同的数值算例说明了该算法在给定宽空点位置和深度条件下的模式合成能力。此外,与具有相等数量的元件的均匀激发阵列相比,峰值旁瓣电平也降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wide nulls control of linear antenna arrays using Craziness based Particle Swarm Optimization
In this paper, an evolutionary swarm intelligence technique; Craziness Particle Swarm Optimization (CRPSO) is propounded for nullifying the radiation pattern of a symmetrical linear antenna array in a particular direction. Multiple wide nulls are achieved by optimum perturbations of elements current amplitude weights to have symmetric nulls about the main beam. Different numerical examples are presented to illustrate the capability of CRPSO for pattern synthesis with a prescribed wide nulls locations and depths. Further, the peak sidelobe levels are also reduces when compared to a uniformly excited array having equal number of elements.
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