电子科技大学学报2011，Vol.40Issue(2)：237-241,5.DOI:10.3969/j.issn.1001-0548.2011.02.016
粒子群优化算法在天线方向图综合中的应用
Application of PSO Algorithm to Antenna Array Pattern Synthesis
摘要
Abstract
According to the prematurity and easily trapping in local optimum by using particle swarm optimization (PSO) in the pattern synthesis of antenna arrays with sidelobe reduction and nulls control, a multiple subpopulation PSO algorithm (MSPSO)is presented in this paper. The MSPSO algorithm is built by employing the strategy of hierarchy and subpopulation with neighbor structure of von Neumann to improve the convergence speed and accuracy. A modified objective function model that adopts different fimess functions according to the character of the top and bottom layer is proposed to balance effectively the local and global searching ability of MSPSO algorithm. The simulation results show that the MSPSO algorithm can achieve relatively high performance in the pattern synthesis of antenna arrays.关键词
阵列天线/进化算法/层次化/粒子群优化算法Key words
antenna arrays/ evolutionary algorithms/ hierarchy/ particle swarm optimization分类
信息技术与安全科学引用本文复制引用
王维博,冯全源..粒子群优化算法在天线方向图综合中的应用[J].电子科技大学学报,2011,40(2):237-241,5.基金项目
国家自然科学基金重大项目(60990320,60990323) （60990320,60990323）
国家863计划(2009AA01Z230) （2009AA01Z230）
