基于人工蜂群优化的常模盲均衡算法  

Constant Modulus Blind Equalization Algorithm Based on Artificial Bee Colony Optimization

作　　者：柏鹤 于丽蓉[1] 夏小添 BAI He;YU Lirong;XIA Xiaotian(The 28th Research Institute of China Electrics Technology Group Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第二十八研究所

出　　处：《指挥信息系统与技术》2019年第6期66-70,共5页Command Information System and Technology

基　　金：装备发展部"十三五"预研课题(315020302)资助项目

摘　　要：针对水声信号在传输过程出现的多径衰落导致的接收数据存在码间干扰(ISI)问题,常采用常模盲均衡算法(CMA)消除ISI,但其代价函数是有多个极小值,易陷入局部最优。提出了基于人工蜂群优化的常模盲均衡算法,利用具有全局搜索能力的人工蜂群算法对代价函数进行全局搜索,可有效克服CMA权向量易陷入局部最优的问题。Aimed at the inter-sym bol interference(ISI)problem in the received data of m ultipath fading in the transm ission process for underwater acoustic signals the constant modulus algorithm(CMA)is often used to eliminate ISI,and its cost function has m ultiple m inima,easily falls into the local optimization.The constant modulus blind equalization algorithm based on artificial bee colony optimization is proposed.Using the artificial bee colony algorithm with global search ability to search the cost function globally can effectively overcome the problem that the weight vector of CMA easily falls into the local optimization.

关 键 词：盲均衡 人工蜂群算法 代价函数 全局搜索 

分 类 号：TN914.3[电子电信—通信与信息系统]