Pattern Synthesis of Antennas Based on Particle Swarm Optimization Algorithm

被引：0

作者：

Duan, Li ^{[1
]}

Zhao, Yisong ^{[1
]}

Xue, Yongyi ^{[1
]}

机构：

[1] Beijing Union Univ, Coll Informat, Beijing, Peoples R China

来源：

ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT IV | 2011年 / 217卷

关键词：

Antenna; Particle; Swarm; Optimization; Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multiplexing Antenna Arrays is the rapid development anti-interference key technology of 4G mobile communication. The core is the direction of pattern synthesis. Yet some of the algorithm has the problem of needing lots of data, slow speed of optimization and convergence accuracy. In this paper the improved antenna pattern synthesis based on particle swarm optimal algorithm is presented. Simulation results show that: it has the small calculation quantity. Easy to implement, the good stability, no many parameters adjust. Especially, multi-zero and low side lobe constraint conditions may be optimized to achieve good results.

引用

页码：1 / 5

页数：5