Sidelobe reduction in array-pattern synthesis using genetic algorithm

被引:313
作者
Yan, KK
Lu, YL
机构
[1] School of Electrical and Electronic Engineering, Nanyang Technological University
关键词
antenna arrays; genetic algorithms;
D O I
10.1109/8.596902
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A simple and flexible genetic algorithm (GA) for pattern synthesis of antenna array with arbitrary geometric configuration is presented, Unlike conventional GA using binary coding and binary crossover, this approach directly represents the array excitation weighting vectors as complex number chromosomes and uses decimal linear crossover without crossover site, Compared with conventional GA's, this approach has a few advantages: giving a clearer and simpler representation of the problem, simplifying chromosome construction, and totally avoiding binary encoding and decoding so as to simplify software programming and to reduce CPU time, This method also allows us to impose constraints on phases and magnitudes of complex excitation coefficients for preferable implementation in practice using digital phase shifters and digital attenuators, Successful applications show that the approach can be used as a general tool for pattern synthesis of arbitrary arrays.
引用
收藏
页码:1117 / 1122
页数:6
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