基于随机集理论和多进制粒子群算法的多用户检测  

Multiuser Detection Based on Random Set Theory and Multi Valued PSO

作　　者：赵知劲[1] 汪百川[1] 尚俊娜[1] 

机构地区：[1]杭州电子科技大学通信工程学院,浙江杭州310018

出　　处：《压电与声光》2009年第6期899-903,共5页Piezoelectrics & Acoustooptics

基　　金：浙江省科技厅科技计划基金资助项目(20050543)

摘　　要：在移动多址通信系统中,活跃用户个数及其参数随时间不断变化。多用户检测中常假定接收方已知活跃用户数,一般为系统所能容纳的最大用户个数。由于某些时刻某些用户处于休眠状态,此情况下传统方法性能很差。该文采用随机集合模型拟合DS-CDMA和MC-CDMA系统中活跃用户时变情况,为解决计算量随用户数指数上升的问题,提出多进制粒子群算法与随机集相结合的检测方法。仿真结果表明,该文提出的多用户检测方法性能优于常规多用户检测方法。In mobile multi-access communication systems,the number of active users as well as their parameters vary with time. The conventional multi-user detection （CMUD） theory has been developed under the assumption that the number of active users is constant and known at the receiver .This assumption impairs the performance in that a set of users might be inactive at any given time. In this paper,we present a method based on random set theory to simulate the dynamic environment that active users are continuously entering and leaving DS-CDMA and MC-CDMA system. To reduce the computation complexity which is an exponential growth with the number of users,the detection scheme based on multi-valued particle swarms algorithms and random set theory is proposed. Simulating results show that the performance of proposed method is better than that of CMUD.

关 键 词：随机集 多进制粒子群算法 多用户检测 动态系统 

分 类 号：TN911.72[电子电信—通信与信息系统]