An Improved Parallel Interference Cancellation Algorithm for DS-CDMA

In terms of linear soft decision feedback, a new parallel interference cancellation scheme is proposed. At each stage, it first converts the interference-cancelled outputs from previous stage into the a prior information, in terms of which the bit mean values are computed linearly and the multi-access interference (MAI) for each user is evaluated, and then an interference cancellation (IC) is performed to obtain further interference suppression. The performance of the proposed PIC over additive white Gaussian noise (AWGN) is analyzed and compared to conventional PIC, which shows that the proposed PIC dominantly outperforms the conventional PIC in performance.