摘要
将“联姻”策略应用在粒子群算法中,提出一种并行粒子群算法(PPSO)。该算法可以有效地加强种群之间的联系,保证单个种群中的粒子在进化过程中的多样性,从而可获得更高效的搜索性能。分析了将并行粒子群算法应用于直接扩频CDMA解相关多用户检测的理论依据和实际性能。仿真结果证明该算法能够减小计算的复杂度,在抗多址干扰能力上比传统的匹配接收机和解相关接收机有显著的提高,与解相关接收机的抗远近能力相当,且比基于遗传算法的接收机具有更快的收敛速度。
The allied strategy is introduced into PSO（Particle Swarm Optmization） and a parallel particle swarm optimization（PPSO） is proposed. This algorithm can strengthen the linking of different swarms and assure the diversity of particles in the course of evolution, so it can gain more efficient seaching abilities. In this paper, an analysis of theoretical basis and prafical performance is made when PPSO is applied to decorrelation DS- CDMA multi-user detection . The experiment result demonstrats that the detector based on PPSO can reduce computational complexity, it is superior than the conventional match detector and decorrelation detector in MAI （ Multi - Access Interference） resistance and is equal to decorrelation detector in near- far resistance , it has better convergence property than detector based on GA algorithm.
出处
《电讯技术》
2006年第4期177-181,共5页
Telecommunication Engineering
关键词
直扩码分多址
多用户检测
多址干扰
远近效应
粒子群算法
解相关
DS - CDMA
multi - user detection
MAI
near - far effect
particle swarm optimization （PSO）
decorrelation
