Adaptive decision feedback detection with constellation constraints for multi-antenna systems

A low-complexity decision feedback (DF) detection algorithm with constellation constraints (DFCC) is proposed for multiple-antenna systems. An enhanced detection and interference cancellation is achieved by introducing the constellation constraints (CC). For time-varying channels, the proposed receiver updates the filter weights using recursive least squares (RLS) algorithm. This highly efficient detector is also incorporated in a multiple branch (MB) structure to achieve a higher detection diversity order. Simulations show that the proposed DFCC technique has a complexity as low as the conventional adaptive DF detector while it achieves a significant performance improvement.