Genetic algorithm in the synthesis of low sidelobe antenna array

被引：1
|
作者：
Dong, T [1 ]
Li, YY [1 ]
Xu, XW [1 ]
机构：
[1] Beijing Inst Technol, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
2002 3RD INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY PROCEEDINGS | 2002年
关键词：
antenna array synthesis; genetic algorithm; low sidelobe; optimization;
D O I：
10.1109/ICMMT.2002.1187809
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：
Genetic algorithm is applied to synthesize, low sidelobe antenna array in this paper.. By constructing proper fitness function, computational complexity can be reduced. The searching ability of genetic algorithm is improved by nonlinar transformation of fitness function. Because of genetic algorithm's inherent characteristics, such as implicit parallelism, robustness and simplicity, computational efficiency can be improved, and global optimum results can also be found. The convergence of genetic algorithm is stable, and good results are achieved.
引用
收藏
页码：751 / 754
页数：4
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