The design of miniature three-element stochastic Yagi-Uda arrays using particle swarm optimization

被引：41

作者：

Bayraktar, Zikri ^{[1
]}

Werner, P. L. ^{[1
]}

Werner, Douglas H. ^{[1
]}

机构：

[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2006年 / 5卷

关键词：

genetic algorithms (GA); miniature antennas; particle swarm optimization (PSO); Yagi-Uda arrays;

D O I：

10.1109/LAWP.2005.863618

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 fixed grid structure of reduced length is employed to generate three-element miniature stochastic Yagi-Uda arrays. Particle swarm optimization (PSO) is utilized to alter the shape and the element distances for optimum forward gain, good front-to-back ratio, and 2:1 or better voltage standing wave ratio (VSWR). Simulation results of PSO are compared with binary valued genetic algorithm (GA) optimized designs and with a conventional three-element Yagi-Uda array.

引用

页码：22 / 26

页数：5

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