MIMO iterative receiver using lattice reduction-aided detection and successive interference cancellation

Lattice reduction (LR)-aided detectors can provide a near maximum likelihood (ML) detector's performance with reasonably low complexity for uncoded multiple-input multiple-output (MIMO) receivers. In this paper, we propose a bit-level LR-aided MIMO detector whose performance can approach that of the maximum a posteriori (MAP) detector for iterative detection and decoding in coded MIMO systems, where a priori information is taken into account for soft-decisions. Furthermore, the proposed method can be extended to large dimensional MIMO systems by channel decomposition and successive interference cancellation (SIC), by which a significant complexity reduction can be achieved. Through simulations and complexity analysis, it is shown that a near-optimal performance is obtained by our proposed low-complexity bit-level LR-aided detector for iterative MIMO receivers.