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


Vol. 33,  No. 11, pp. 932-939, Nov.  2008


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  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.

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  Cite this article

[IEEE Style]

D. Lee, S. Park, Y. Byun, "Lattice-Reduction-Aided Detection based Extended Noise Variance Matrix using Semidefinite Relaxation in MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 11, pp. 932-939, 2008. DOI: .

[ACM Style]

Dong-Jin Lee, Su-Bin Park, and Youn-Shik Byun. 2008. Lattice-Reduction-Aided Detection based Extended Noise Variance Matrix using Semidefinite Relaxation in MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 33, 11, (2008), 932-939. DOI: .

[KICS Style]

Dong-Jin Lee, Su-Bin Park, Youn-Shik Byun, "Lattice-Reduction-Aided Detection based Extended Noise Variance Matrix using Semidefinite Relaxation in MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 11, pp. 932-939, 11. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880