Application of Improved Particle Swarm Optimization in Antenna Array Pattern Syntheis
Particle Swarm Optimization (PSO) is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarm,which is very easy to understand and implement. In order to overcome the drawbacks of standard PSO,some improved mechanisms based on the design of a novel formula for velocity updating,and global best perturbation are adopted. The simulation results of sideiobe reduction of 2-D array show that it is effective.
W.T.Li S.F.Liu X.W.Shi
National Key Laboratory of Antenna and Microwave Technology Xidian Uniersity No.2 SOUTH Taibai ROAD,Xian,Shaanxi,P.R.China
国际会议
2008 Global Symposium on Millimeter Waves(GSMM 2008)(2008全球毫米波学术大会)
南京
英文
119-122
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）