Parallel Interference Cancellation Aided by Nonlinear MMSE Estimation

Z. Wu and X. Wang (Canada)




n this paper, a new parallel interference cancellation (PIC) multi-user detection scheme is proposed. The new scheme employs a novel nonlinear minimum mean square error (MMSE) estimator that replaces the soft decision device in the conventional partial PIC schemes. The nonlinear estimator exploits the knowledge of symbol alphabet for refined estimates with smaller mean square error (MSE). The overall computational complexity is close to that of the conventional PIC schemes. Simulation results demon strate that the proposed detector significantly outperforms the conventional detectors.

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