Abstract
Maximum likelihood (ML) detector is inefficient in the multiple-input multiple-output (MIMO) systems, though it has the best bit error rate (BER) performance. The lattice reduction aided (LRA) detection algorithm has been proposed to establish more efficient detectors for the MIMO systems. However, it causes quantization error that makes the obtained points lie outside of the original constellation. In this paper, an algorithm was proposed to reduce the effect of the quantization error. The quantization error correction algorithm was used to improve the BER performance with low complexity compared with the ML detector. The simulation shows that the proposed detector gives significant improvement with slightly additional computational complexity.
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