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Lattice Reduction (LR) aided detection algorithms are known to achieve the same diversity order as that of Maximum-Likelihood (ML) detection at low complexity. However, they suffer SNR loss compared to ML performance. The SNR loss is mainly due to imperfect orthogonalization and imperfect nearest neighbor quantization. In this paper, the authors propose an Improved LR-aided (ILR) detection algorithm, where they specifically target to reduce the effects of both imperfect orthogonalization and imperfect nearest neighbor quantization. The proposed ILR detection algorithm is shown to achieve near-ML performance in large-MIMO systems and outperform other LR-aided detection algorithms in the literature.
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