基于自调整步长的LMS盲多用户检测

Blind multiuser detection based on selfjuning step size LMS

提出了一种自调整步长的LMS盲多用户检测算法,该算法的收敛步长能跟踪系统的变化,克服了定步长LMS算法的收敛步长与输入信号的自相关特征值大小相关的缺点。仿真结果表明,该算法不仅加快了收敛,并且具有较好的抑制多址干扰和克服“远-近”效应的能力。

A blind muhiuser detection based on self_tuning step size LMS （least mean square） algorithm is proposed in this paper. The convergent step size can track the change of the system and this algorithm can overcome the defect of the constant step size LMS algorithm whose step size is related to the eigenvalue distribution of the received signal autocorrelation matrix. By simulation , it is shown that this algorithm has good performance in speeding convergence , restraining MAI （multiple address interference） and eliminating ＂ near-far＂ effect.