Lattice basis reduction: improved practical algorithms and solving subset sum problems
Mathematical Programming: Series A and B
On the partial MAP detection with applications to MIMO channels
IEEE Transactions on Signal Processing
The Chase Family of Detection Algorithms for Multiple-Input Multiple-Output Channels
IEEE Transactions on Signal Processing
LLL Reduction Achieves the Receive Diversity in MIMO Decoding
IEEE Transactions on Information Theory
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In order to derive low complexity multiple input multiple output (MIMO) detectors, we combine two additional approaches, namely lattice reduction (LR) and list within the framework of the successive interference cancellation (SIC) based detection in this paper. The resulting detector, called the SIC-List-LR based detector, provides a near maximum likelihood (ML) performance with a significantly reduced complexity. For example, the signal-to-noise ratio (SNR) loss of the proposed detector compared to the ML detector is less than 0.3 dB for a 4×4 MIMO systems with 16-quadrature amplitude modulation (QAM) at a bit error rate of 10-3 while complexity is about half of that of the conventional LR based detectors.