基于粒子群算法的盲多用户检测器  

The blind multiuser detector based on particle swarm optimization algorithm

作　　者：向志军 张群慧[2] 

机构地区：[1]湖南水利水电职院,湖南长沙410131 [2]湖南信息科学职业学院,湖南长沙410151

出　　处：《电子技术应用》2012年第6期115-117,121,共4页Application of Electronic Technique

摘　　要：在信道参数未知的多径环境下,盲多用户检测算法性能存在诸如收敛速度慢和估计精度低等问题。将粒子群算法运用到基于恒模算法的盲多用户检测中。仿真结果显示,粒子群算法能够更精确地估计出信道的参数,且其收敛速度非常快,在估计出信道参数之后再进行盲多用户检测,检测性能优良。The current blind multiuser detection algorithms＇ capability is limited by many factors in muhipath system whose channel parameter are unknown, the most important one of these factors is the estimation of channel parameter. Owing to the multi- ple access interference （MAI）, it＇s difficult to deal with channel estimation, the existing blind muhiuser detection algorithms have some disadvantages such as slow convergence and low estimation precision. In this paper, we use particle swarm optimization（PSO） to deal with blind muhiuser detection based on constant modulus algorithm （CMA）, the emulation result shows that PSO performs well in blind muhiuser dectection because of well performance in channel estimation.

关 键 词：盲多用户检测 粒子群算法 恒模算法 

分 类 号：TN914.5[电子电信—通信与信息系统]