A New Design of Iterative Detection and Decoding with Soft Interference Cancellation

This paper aims to improve the design of iterative detection and decoding (IDD) based on the soft interference cancellation with minimum mean squared error (SC-MMSE) detector, which shows low performance compared to the maximum a posteriori (MAP) detector. Such low performance is attributed to that the "pure" (original) turbo principle is not always best for IDD with SC-MMSE. Thus, we propose a new IDD architecture based on the SC-MMSE detector which uses new a priori information. Extrinsic information transfer (EXIT) chart analysis and simulation results show that the performance of the proposed IDD is very close to that of IDD based on the MAP detector.