Analysis of A Novel Blind Decision-Feedback Interference Cancellation Framework

Interference cancellation is one major multiuser detection strategy for suppressing interference effects and improving system performance. In this paper, a novel blind decision-feedback interference cancellation framework and its implementations with least squares, maximum likelihood and minimum mean squared error criteria are proposed and analyzed. Compared with existing blind multiuser receivers, the proposed framework and schemes require a small number of previous received signals and no subspace separation or sequence estimation. The detection complexity and delay can therefore be low. The proposed schemes can also be implemented in an adaptive fashion. Theoretical analysis as well as computer simulations is provided to demonstrate the performance of the proposed schemes.