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Lattice-Reduction-Aided Detection based Extended Noise Variance Matrix using Semidefinite Relaxation in MIMO Systems  

Lee, Dong-Jin (시립인천대학교 전자공학과 신호처리연구실)
Park, Su-Bin (시립인천대학교 전자공학과 신호처리연구실)
Byun, Youn-Shik (시립인천대학교 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.33, no.11C, 2008 , pp. 932-939 More about this Journal
Abstract
Recently lattice-reduction (LR) has been used in signal detection for multiple-input multiple-output (MIMO) systems. The conventional LR aided detection schemes are combinations of LR and signal detection methods such as zero-forcing (ZF) and minimum mean square error (MMSE) detection. In this paper, we propose the Lattice-Reduction-aided scheme based on extended noise variance matrix to search good candidate symbol set in quantization step. Then this scheme estimates transmitted symbol with Semidefinite Relaxation by candidate symbol set. Simulation results in a random MIMO system show that the proposed scheme exhibits improved performance and a slight increase in complexity.
Keywords
MIMO systems; LRAD; SDR; MLD; Detector;
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