分集接收的STBC-MC-CDMA系统中基于PSO算法的多用户检测  

Particle Swarm Optimization-Based and Receive-Diversity-Aided Multiuser Detection for STBC MC-CDMA Systems

作　　者：刘洪武[1] 冯全源[1] 

机构地区：[1]西南交通大学信息科学与技术学院,成都610031

出　　处：《电子与信息学报》2009年第1期45-48,共4页Journal of Electronics & Information Technology

摘　　要：该文提出了一种使用多天线分集接收的空时分组码多载波码分多址(STBC-MC-CDMA)系统中基于粒子群优化(PSO)算法的多用户检测(MUD)方案。当采用多天线分集接收时,各个天线接收的信号经历了相互独立的衰落,导致不同天线分支对应的匹配度函数相互独立。为解决多天线分集接收的多目标优化问题,提出了虚拟Pareto前端的概念,并使粒子按照Pareto优化准则进行速度和位置更新。仿真结果表明,所提方案获得了增强的开发和探索能力,其性能优于常规PSO算法和多目标遗传算法。A Particle Swarm Optimization （PSO） based Multiuser Detection （MUD） is proposed for the receive- diversity-aided and Spac-Time Block Coded Multi-Carrier Code-Division Multiple-Access （STBC-MC-CDMA） systems. Due to the receive-diversity, the signals received at the different antennas are faded independently, resulting in an independent cost function for each antenna. To resolve the multi-objective dilemma when choosing one signal estimation for multiple receive antenna-branches, the virtual Pareto front is introduced, and .each particle updates it＇s velocity and position in a Pareto optimal way. Simulations show that the proposed scheme has the enhanced capabilities of exploration and exploitation and has better performance than the conventional PSO and multi-objective genetic algorithm.

关 键 词：空时分组码 天线分集 多载波码分多址 粒子群优化算法 多用户检测 

分 类 号：TN914.5[电子电信—通信与信息系统]