Design of Thinned Arrays Based on Genetic Algorithm

Yuhuan Zhang, Xinzhong Zhu, Yuchen Zhang, Xiaochun Xiang, Tianle Zhang
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引用次数: 1

Abstract

Genetic algorithm (GA) is employed for thinned array synthesis in this paper, and the side lobe level is used as the optimization target to optimize the position of the array elements. The simulation results show that the −17dB side lobe level is achieved under the condition of 50% sparse rate, which verifies the effectiveness of the algorithm. By adopting thinned array, the channel number of phased arrays is reduced, thus reducing the antenna cost.
基于遗传算法的稀疏阵列设计
本文采用遗传算法(GA)进行稀疏阵列合成,以旁瓣电平为优化目标,对阵列元素的位置进行优化。仿真结果表明,在稀疏率为50%的情况下,可以达到−17dB的旁瓣电平,验证了算法的有效性。通过采用减薄阵列,减少了相控阵的通道数,从而降低了天线成本。
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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