基于改进粒子群优化算法的多用户检测器

A Multiuser Detector Based on Particle Swarm Optimization

提出了一种基于改进粒子群优化算法的多用户检测器。介绍了最佳多用户检测模型以及粒子群优化算法的基本思想。进行了理论依据和仿真性能分析。仿真结果表明：该检测器在误码率性能和抗“远近”效应上优于传统检测器和基于粒子群优化得多用户检测器，计算复杂度较低。

A multiuser detection based on particle swarm optimization （MPSO-MUD） is proposed.The optimum multiuser detection system model and the main idea of PSO are introduced.Numerical results have shown that in aspect of bit-error rate and ＂near-far＂ resistance,the MPSO-MUD is better than the conventional detection （CD） and PSO-MUD.