采用粒子集群算法的DS-CDMA多用户检测

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

Multiuser detection using the particle swarm optimization algorithm in DS-CDMA communication systems

An algorithm was developed to improve multiuser detection (MUD) using particle swarm optimization (PSO) in direct-sequence code division multiple access (DS-CDMA) systems to provide a move robust algorithm and better near-far resistance with parallel processing. The modified algorithm is a hybridization of the PSO-MUD algorithm with a multistage detector which reduces the computational complexity by providing faster convergence. Simulation results show that the proposed detectors benefit greatly from the particle swarm algorithm and have significant performance improvements over conventional receivers and previous multiuser detectors based on the genetic algorithm in terms of bit-error-rate, convergence rate and near-far resistance.