An adaptive full parallel interference canceller with imperfect channel estimation for CDMA systems

In this paper, we investigate the performance of an adaptive full parallel interference cancellation (FPIC) multiuser detection scheme based on the least mean square (LMS) algorithm for direct-sequence code-division multiple-access (DS-CDMA) communication systems. Simulation results show that the proposed FPIC multiuser detector outperforms the NLMS-based partial PIC (NLMS-PPIC) scheme over flat fading channels under imperfect channel estimation. Moreover, over a two-path frequency selective fading channel, the proposed adaptive FPIC detector is superior to the NLMS-PPIC and shows the effective cancellation of the multiple access interference (MAI) even with moderate channel estimation errors.