为了有效抑制多址干扰 ,实现结构简单、鲁棒性强的目的 ,将粒子集群算法 (PSO)应用于直扩码分多址 (DS-CDMA)通信系统的多用户检测中。提出了 PSO- MU D方法。利用改进的 PSO- MU D方法与传统多阶段多用户检测器相结合 ,在加速收敛的同时降低了计算复杂度。仿真结果表明 ,这种多用户检测器充分利用了粒子集群算法的优良特性 ,与传统的 CDMA接收机和基于遗传算法的多用户检测器相比较 ,在误码率、收敛速度、抗远近能力等方面都有显著改善 In order to effectively suppress multiple access interference and achieve the purpose of simple structure and strong robustness, particle clustering algorithm (PSO) is applied to multiuser detection in DS-CDMA communication system. Proposed PSO-MU D method. The improved PSO-MU D method combined with the traditional multi-stage multi-user detector reduces the computational complexity while accelerating convergence. Simulation results show that this multi-user detector makes full use of the excellent characteristics of particle clustering algorithm. Compared with the traditional CDMA receiver and multi-user detector based on genetic algorithm, this multi-user detector has better performance in bit error rate, convergence rate, There have been significant improvements in all aspects