基于粒子群算法的阵列波束宽零陷优化设计  

Optimization Design for Broad Null-steering of Array Beam Based on Particle Swarm Algorithm

作　　者：陈永森[1,2] 涂正林[1] 

机构地区：[1]中国船舶重工集团公司第723研究所,扬州225001 [2]中国重工海博威(江苏)科技发展有限公司,扬州225001

出　　处：《舰船电子对抗》2016年第1期103-104,114,共3页Shipboard Electronic Countermeasure

摘　　要：作为一种新型的群智能随机优化算法,粒子群优化(PSO)算法在解决各种非线性复杂问题上得到了广泛的应用。研究了粒子群优化算法在阵列天线方向图零陷加宽技术上的应用,通过实例表明粒子群算法能够在较宽的角度区间上形成满足要求的零陷,在抗干扰应用方面具有较高的应用前景。As a new stochastic optimization method based on swarm intelligence,particle swarm optimization （PSO） algorithm is widely used to solve various non-linear complicated problems. This paper studies the application of PSO algorithm to broaden the range of antenna null-steering of array antenna pattern,indicates that the null-steering is satisfied for the requirements in wider angle interval by using PSO algorithm can he formed,which has fine prospect in array anti-jamming application.

关 键 词：粒子群优化算法 阵列波束形成 宽零陷 

分 类 号：TN821.8[电子电信—信息与通信工程]