基于子空间约束RLS的半盲多用户检测算法

考虑实际的MC-CDMA上行链路,深入研究了基于RLS算法实现的MOE(RLS-MOE)盲自适应多用户检测,提出了MC-CDMA系统下一种基于子空间约束RLS的半盲多用户检测算法.在MOE盲多用户检测的基础上,利用小区内用户的已知扩频码设计了一种MOE半盲多用户检测器.将子空间方法和RLS算法相结合提出一种基于子空间约束的RLS 算法,使用该算法自适应得到MOE的权向量.本文算法利用所有已知用户的扩频码抑制了小区内用户的干扰,子空间约束的RLS 算法降低了噪声的影响,从而改善了系统的性能.修正的PASTd算法实现了信号的自适应跟踪,大大降低了计算量.仿真实验表明,本文算法的输出信干噪比和误码率性能优于RLS-MOE盲多用户检测,更接近于最优值.

A Semi-Blind Multiuser Detection Based on Subspace Constrained RLS Algorithm

From the foundation of the investigation on the RLS-MOE blind muhiuser detection,a semi-hlind muhiuser detection based on the subspace constrained RLS algorithm is proposed for MC-CDMA uplink.A seim-blind muhiuser detection hased on the MOE principle is designed by exploiting the spreading sequences of all known users.We combine the RLS algorithm with the subspace ap- proach and propose a subspace constrained RLS algorithm to obtain the MOE weight vector adaptively.This proposed detector suppresses the interferers within the cell and mitigates the noise.As a result,the performance of the system is improved.A modified PASTd algo- titian is presented for adaptive subspace estimation,which reduces the computational complexity.Simulation results show that the pro- posed algorithm can offer better performance in SINR and BER than the RLS-MOE blind muhiuser detection.