基于遗传算法的相控阵天线旁瓣电平优化

F. Soltankarimi, J. Nourinia, C. Ghobadi
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引用次数: 25

摘要

采用遗传算法对线性和平面相控阵的旁瓣电平进行了优化。天线电流的幅值和相位都作为控制变量。最后,给出了100元线性阵列和100元平面阵列的设计规范。线性阵列和平面阵列在扫描角度上也进行了优化。仿真结果分为几张图。成功的应用表明,遗传算法可以作为任意阵列方向图综合的通用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Side lobe level optimization in phased array antennas using genetic algorithm
The sidelobe level (SLL) of linear and planar phased arrays is optimized using a genetic algorithm (GA). The amplitude and phase of the current of the antennas are all taken as variables to be controlled. As a final example, the design specifications for a 100 element linear array and a 100 element planar array are given. The linear and planar arrays are also optimized over scan angle. Simulation results are presented as several plots. Successful applications show that the GA can be used as a general tool for pattern synthesis of arbitrary arrays.
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