基于粒子群算法的盲多用户检测器

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 blind multiuser detector based on particle swarm optimization algorithm

The current blind multiuser detection algorithms ' capability is limited by many factors in multipath system whose channel parameter are unknown,the most important one of these factors is the estimation of channel parameter.Owing to the multiple access interference(MAI),it 's difficult to deal with channel estimation,the existing blind multiuser 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 multiuser detection based on constant modulus algorithm(CMA),the emulation result shows that PSO performs well in blind multiuser dectection because of well performance in channel estimation.