A Hybrid Detection Technique for Multiple Input Multiple Output Systems in Fading Environment 


Vol. 31,  No. 9, pp. 897-904, Sep.  2006


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  Abstract

Multiple input multiple output architectures, known to provide high spectral efficiencies, can provide the best performance in terms of the block error rate when a maximum likelihood (ML) detector is employed. The complexity of the ML detector, however, increases exponentially with the numbers of transmit antennas and signals in the constellation. The zero forcing (ZF) detector has been suggested as a reduced-complexity detection method at the cost of performance degradation. In order to improve the performance of the ZF detector while reducing the complexity of the ML detector, we propose a novel multistage decision method. Numerical results show that, despite the proposed detector has a lower complexity than the ML detector, the performance difference between the ML and proposed detectors is negligibly small at high SNR.

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  Cite this article

[IEEE Style]

J. Oh, T. An, I. Song, J. Park, S. R. Park, "A Hybrid Detection Technique for Multiple Input Multiple Output Systems in Fading Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 9, pp. 897-904, 2006. DOI: .

[ACM Style]

Jongho Oh, Taehun An, Iickho Song, Juho Park, and So Ryoung Park. 2006. A Hybrid Detection Technique for Multiple Input Multiple Output Systems in Fading Environment. The Journal of Korean Institute of Communications and Information Sciences, 31, 9, (2006), 897-904. DOI: .

[KICS Style]

Jongho Oh, Taehun An, Iickho Song, Juho Park, So Ryoung Park, "A Hybrid Detection Technique for Multiple Input Multiple Output Systems in Fading Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 9, pp. 897-904, 9. 2006.