A Novel Blind Channel Equalization Algorithm for Minimizing the Peak Distortion in DS-CDMA Systems

摘要

In this paper, a novel blind equalization algorithm is proposed to increase the spectral efficiency of Direct Sequence Code Division Multiple Access (DS-CDMA) systems. By the new method severe selective fading can be equalized without a training sequence. Furthermore Multiple Access Interference (MAI) in mobile systems can also be successfully mitigated. The equalization algorithm is carried out by a novel adaptive decorrelation method, which minimizes the Peak Distortion. The stability and convergence properties of the proposed algorithm are proven in probability by using the theory of stochastic approximation. Extensive simulations have demonstrated that the proposed blind equalizer can yield similar performance as the corresponding supervised equalizer algorithms. Hence, low Bit Error Rate (BER) can be preserved without sacrificing a considerable portion of data speed to training (which is the disadvantage of traditional supervised algorithms).