Radiation pattern synthesis for adaptive antenna arrays using improved quantum genetic algorithm

被引:0
|
作者
Liu, Ming [1 ]
Yuan, Chao-Wei [1 ]
Li, Tian-Song [1 ]
Wu, Hong-Hai [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Inst Commun Networks Integrated Tech, Beijing 100876, Peoples R China
关键词
D O I
暂无
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
in this paper, compared with genetic algorithm (GA), an improved quantum genetic algorithm (QGA) was proposed, and it was used to calculate the complex excitations, amplitudes and phases of adaptive antenna arrays. The optimization goal is to maximize the output power of the desired signal and minimize the total output power of the interfering signals. Simulation results show that the improved QGA has better performance than existing GA.
引用
收藏
页码:170 / 173
页数:4
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