基于改进蜂群算法的非均匀阵列综合  

Synthesis of Non-uniform Arrays Using Modified Bees Algorithm

作　　者：崔佩璋[1] 全厚德[1] 乔成林[1] CUI Pei-zhang;QUAN Hou-de;QIAO Cheng-lin(Ordnance Engineering College,Shijiazhuang 050003,China)

机构地区：[1]军械工程学院,石家庄050003

出　　处：《火力与指挥控制》2016年第12期87-90,共4页Fire Control & Command Control

基　　金：军队科研基金资助项目

摘　　要：针对蜂群算法易陷入局部极值的缺陷,提出一种改进蜂群算法实现非均匀阵列综合。首先,通过引入概率选择机制,以概率因子控制蜂群算法对精英蜂的选择,从而改善蜂群算法的全局优化性能;然后,采用改进蜂群算法优化阵元间距降低最大峰值旁瓣电平并抑制干扰;最后,仿真实验表明该改进算法在非均匀阵列综合中的有效性和稳健性。研究成果可为非均匀阵列综合提供一种新的途径。According to the problems that Bees Algorithm(BA)is easy to fall into local extremum,a Modifeid Bees Algorithm (MBA)is proposed to optimize the distances of non -uniform arrays.Firstly,a mechanism of probability selection is introduced to BA,the elite bee of bees algorithm is selected by probability factor. In this way,the global searching ability will be improved. Then the antenna distances are optimized by MBA to minimize the peak side -lobe level and suppress the interference. Finally,simulation results show the effectiveness and robustness of the MBA. The research can provide a new way for synthesis of non-uniform arrays.

关 键 词：改进蜂群算法 最大峰值旁瓣电平 阵列 非均匀 概率选择 

分 类 号：TN820[电子电信—信息与通信工程]