Blind adaptive asynchronous CDMA multiuser detector using prediction least mean kurtosis algorithm

In this paper, a new blind adaptive multiuser detector, which is termed the prediction least mean kurtosis (PLMK) algorithm, is proposed for joint MAI and narrowband interference (NBI) suppression in asynchronous CDMA systems. This algorithm is based on higher-order statistics rather than the second-order statistics used in the LMS algorithm. Unlike the regular least mean kurtosis (LMK), it takes into consideration samples earlier than those corresponding to the current bit. For comparison purposes, we also apply the regular LMK algorithm to the case of asynchronous CDMA systems. Simulation results show that the blind adaptive multiuser detector with PLMK algorithm provides significantly better performance than the one with regular LMK algorithm