Decision Feedback Aided Detection Based on Lattice Reduction in MIMO Systems

In this paper, a novel MIMO detection named decision feedback aided detection based on lattice reduction (DFDLR) is proposed. Lattice reduction has been proposed to be exploited in signal detection in multiple antenna systems. However, lattice reduction transforms the QAM constellation cube to be a parallelotope, and it is difficult to determine the transformed QAM boundaries, which results in sub-optimal performance with simple quantization. We propose to exploit decision feedback to enhance the QAM boundary control. Simulations show that decision feedback can improve the performance of lattice reduction-based linear detection (LD) and lattice reduction-based successive interference cancellation (SIC) significantly especially with zero forcing (ZF) criterion. It is also shown by simulation that the proposed scheme in conjunction with SIC can approach maximum likelihood (ML) detection with MMSE criterion at high signal-to-noise ratio (SNR)