基于差分粒子群优化的MIMO雷达阵列综合  

A Differential Particle Swarm Optimization Based Method for MIMO Radar Array Synthesis

作　　者：董健[1] 蒋艺[1] 刘芳[1] 施荣华[1] 岳艳涛 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《微波学报》2015年第5期15-21,共7页Journal of Microwaves

基　　金：国家自然科学基金(61201086);教育部博士学科点专项科研基金(20110162120044);湖南省科技计划项目(2014GK3022);中南大学自主探索创新项目(2014zzts215)

摘　　要：提出一种基于差分粒子群优化算法(Differential Particle Swarm Optimization,DPSO)的MIMO雷达方向图综合方法,通过发射、接收阵元位置和激励幅度的联合优化,可实现MIMO雷达方向图旁瓣电平与零陷深度的联合控制。在粒子位置和速度更新机制的基础上,引入差分进化(Differential Evolution,DE)思想而设计的交叉、变异和位置扰动策略以保持种群在迭代后期的搜索多样性,从而改善算法的全局寻优性能。数值实验结果验证了所提方法的有效性以及相对其他算法的性能优势。In this paper,a differential particle swarm optimization( DPSO) based method for MIMO radar antenna array synthesis is proposed. By optimizing element positions and excitation amplitude of transmitting receiving array,the method can achieve the control of both sidelobe levels and null depth. In DPSO,crossover,mutation,and random permutation operators originating from differential evolutionary are introduced into basic PSO mechanisms to maintain the population diversity and improve global optimization capability. Numerical experimental results validate the effectiveness of the proposed method and its superiorities over other algorithms.

关 键 词：多输入多输出(MIMO)雷达 方向图综合 差分粒子群优化 峰值旁瓣电平 零陷深度 

分 类 号：TN958[电子电信—信号与信息处理]