Lattice Reduction Aided MIMO Detectors with Quantization Error Correction

Lattice reduction aided detection schemes have been proposed to enhance the performance of multiple-input multiple- output (MIMO) systems. We combine linear detections such as zero-forcing (ZF) and minimum mean square error (MMSE) with lattice reduction to improve the performance with little complexity increase. Lattice reduction aided detection requires a quantization to detect the signals. The errors in this quantization step degrade the bit error rate. In this paper, we propose the quantization error correction algorithm to enhance the performance and perform simulations to verify our results.