天线阵旁瓣抑制的粒子群算法

2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC) Pub Date : 2019-07-01 DOI:10.1109/CSQRWC.2019.8799242

L. Xue, Jiao Zhang, Yusheng Pan, Yufeng Liu

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引用次数: 0

摘要

提出了一种基于粒子群算法的稀疏阵列位置优化算法。在孔径为34波长、阵元数为35的条件下，比较了遗传算法(GA)和粒子群算法(PSO)对阵旁瓣电平的优化结果。仿真结果表明，粒子群算法优于遗传算法。

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Particle Swarm Optimization for Side Lobe Reduction of Antenna Array

This paper presents particle swarm optimization (PSO) algorithm to optimize the position of sparse arrays. Under the condition that the aperture is 34 wavelength and the number of array elements is 35, we compared the optimization results of the side lobe level of the array by genetic algorithm (GA) with that by PSO. The simulation results show that PSO algorithm has better effect than GA.

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来源期刊

2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)

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