Pattern Synthesis for Antenna Arrays Using Chaotic PSO Algorithm

摘要：

To deal with pattern synthesis of antenna arrays, this paper presents a novel Chaotic Particle Swarm Optimization algorithm (CPSO) to avoid the premature phenomenon of PSO algorithm. The new algorithm uses a comprehensive learning strategy to make the particles have different learning exemplars for different dimensions. The area of the chaotic searching region can be adaptively adjusted according to the distance of the particles personal best position and the comprehensive position. The simulation results show that it achieves relatively high performance by applying CPSO in the pattern synthesis of antenna arrays.

关键词： chaotic search Particle Swarm Optimization (PSO) Antenna array

作者: Weibo Wang Quanyuan Feng

作者单位: School of Electric Information, Xihua University School of Information Science & Technology, Southwe School of Information Science & Technology Southwest Jiaotong University Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 360-363

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）