基于改进粒子群算法的阵列天线方向图综合设计  

Design of array antenna beam pattern synthesis based on improved particle swarm optimization

作　　者：曹卫平[1,2] 杨昭[1] 张惠敏[1] CAO Weiping YANG Zhao ZHANG Huimin(School of Information and Communication Engineering, Guilin University of Electronic Technology, Guilin 541004, China Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology, Guilin 541004, China)

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004 [2]桂林电子科技大学认知无线电与信息处理重点实验室,广西桂林541004

出　　处：《桂林电子科技大学学报》2016年第6期466-468,共3页Journal of Guilin University of Electronic Technology

基　　金：国家自然科学基金(61361005;61001020;61461016);桂林电子科技大学研究生教育创新计划(YJCXS201526)

摘　　要：为了改善粒子群算法的优化性能,解决阵列天线波束赋形关于离散的优化问题处理不佳、容易陷入局部最优的问题,提出了一种新型的粒子群算法。该算法基于基本粒子群算法,引入控制因子和遗传算法的交叉变异机制,并应用于八单元偶极子圆环阵列天线。仿真结果表明,新型粒子群算法收敛速度快、精度高。In order to improve the performance of particle swarm optimization and solve the problem that an array antenna beamforming optimization may not meet the requirement but lead to local optimum,a new particle swarm optimization is proposed.On the basis of conventional particle swarm optimization,control factors and crossover and mutation mechanism of genetic algorithm are introduced and applied for 8elements ring dipole array antenna.The simulation results show that the new particle swarm optimization converges fast,its precision is high as well.

关 键 词：粒子群算法 阵列天线 方向图综合 交叉变异 

分 类 号：TN929.5[电子电信—通信与信息系统]