CDMA系统粒子群多用户检测算法  

Particle Swarm Optimization Algorithm for CDMA System Multiuser Detection

作　　者：郭振清[1] 肖扬[1] 

机构地区：[1]北京交通大学信息科学研究所,北京100044

出　　处：《信号处理》2007年第6期806-809,共4页Journal of Signal Processing

基　　金：国家自然科学基金资助;项目号:60572093.

摘　　要：Kennedy和Eberhart提出的粒子群优化算法(PSO),作为一种新的并行优化算法,在解决多维和非线性的复杂问题中,性能优良且算法简单易于实现。本文对二进制粒子群优化算法进行改进,并将其应用于DS-CDMA通信系统的多用户检测中,提出了基于矢量的二进制粒子群多用户检测器(V-BPSO-MUD),同时提出了两种高效实用的多用户检测器:基于矢量的串行二进制多用户检测器(VS-BPSO-MUD)及基于矩阵的二进制多用户检测器(M-BPSO-MUD)。仿真结果表明,PSO多用户检测器充分利用了粒子群优化算法的优良特性,性能明显优于传统的CDMA检测器,接近无多址干扰情况。As a new parallel algorithm, Particle Swarm Optimization Algorithm （PSO） proposed by Kennedy and Eberhart has showed great advantage in solving multidimensional and non-linear problems, and it is easy to be applied. By improving Binary Particle Swarm Optimization （BPSO） algorithm and applying it in a DS-CDMA system as a muhiuser detection algorithm, a binary Particle Swarm Optimization Muhiuser Detector based on vector （V-BPSO-MUD） is proposed in this paper. Furthermore,another two high efficient MUDs are discussed,which are serial binary Particle Swarm Optimization Multi-user Detector based on vector （VS-BPSO-MUD） and binary Particle Swarm Optimization Multiuser Detector based on matrix （M-BPSO-MUD）. Simulations show that these proposed detectors are benefited greatly from the BPSO, they have significant performance improvements over Conventional Detector （CD）, and they approach the performances without MAI in a CDMA system. Prosperously all of them are easy to be applied in a CDMA system.

关 键 词：粒子群优化算法(PSO) 多用户检测(MUD) CDMA 多址干扰(MAI) 

分 类 号：TN914.5[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]