分集接收的STBC-MC-CDMA系统中基于PSO算法的多用户检测

刘洪武; 冯全源

doi:10.3724/SP.J.1146.2007.01205

分集接收的STBC-MC-CDMA系统中基于PSO算法的多用户检测

doi: 10.3724/SP.J.1146.2007.01205

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出版历程
- 收稿日期: 2007-11-02
- 修回日期: 2008-04-28
- 刊出日期: 2009-01-19

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

摘要

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。
- 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
Abstract: A Particle Swarm Optimization (PSO) based Multiuser Detection (MUD) is proposed for the receive- diversity-aided and Space-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 its 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.

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