An Extended Particle Swarm Optimization Algorithm for Pattern Synthesis of Conformal Phased Arrays

被引:9
|
作者
Li, Wentao [1 ]
Hei, Yongqiang [2 ]
Shi, Xiaowei [1 ]
Liu, Shufang [1 ]
Lv, Zhiqing [1 ]
机构
[1] Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
基金
美国国家科学基金会;
关键词
conformal antenna array; phased array; pattern synthesis; particle swarm optimization; ANTENNA-ARRAYS;
D O I
10.1002/mmce.20421
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this article, an extended particle swarm optimization (EPSO) algorithm is proposed for designing conformal phased arrays. On the basis of traditional particle swarm optimization (PSO), novel velocity updating mechanism, new exceeding boundary control operator, and global best perturbation are introduced in EPSO to overcome the drawbacks of PSO. To validate the efficiency of the proposed algorithm, both the classical test functions and the scenarios concerning a 1 x 9-element cylindrical conformal phased array and a 3 x 9(27)-element cylindrical conformal array with flat-top shaped-beam pattern are presented. Simulation results show that the proposed method is superior to genetic algorithm (G.A) and PSO when applied to both the classical test Functions and the practical problems of conformal antenna array synthesis. (C) 2010 Wiley Periodicals Inc Int J RF and Microwave CAE 20 190-199. 2010
引用
收藏
页码:190 / 199
页数:10
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