基于混合粒子群算法的阵列方向图综合技术  

Method of synthesizing array antenna pattern by hybrid PSO algorithm

作　　者：赵国华[1] 李振华[1] 崔炳喆[1,2] 

机构地区：[1]中国空空导弹研究院,河南洛阳471009 [2]航空制导武器航空科技重点实验室,河南洛阳471009

出　　处：《电子设计工程》2015年第23期158-160,164,共4页Electronic Design Engineering

摘　　要：本文提出了一种结合凸优化技术的改进混合粒子群算法,可以很好实现阵列天线特殊形状的波束赋形。该算法通过在普通粒子群内引入混沌扰动,对全域解初步优化,并将优化的结果作为凸优化的初始位置,使用凸优化技术作快速的局部深入优化,最终实现大型阵列天线方向图的赋形优化。计算结果表明,该算法收敛性较好,计算效率高,在方向图综合中有着非常好的工程应用性。A modified Particle Swarm Optimization （PSO） algorithm combining convex optimization algorithm, which achieves arbitrary array antenna pattern synthesis for special beam-shaped, is presented in this paper.The algorithm introduces chaos and perturbation when renewal the position of inferior particles. Using convex optimization in the partial region and making the optimized result as the initial position of global optimization, pattern synthesis of large array antenna is achieved. Simulation results show that, global search and the convergent speed are improved and iterative times are reduced compared to the normal PSO. It demonstrates the proposed method is feasible and efficient in practical engineering application.

关 键 词：阵列天线 粒子群算法 凸优化 方向图综合 

分 类 号：TN958.92[电子电信—信号与信息处理]