A Robust Iterative Detection Algorithm for V-BLAST over Spatially Correlated Channels

Jing Xiao-rong; Zhou Zheng-zhong; Zhang Tian-qi

doi:10.3724/SP.J.1146.2008.00975

Volume 31 Issue 6

Jun. 2009

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(6): 1410-1414

Jing Xiao-rong, Zhou Zheng-zhong, Zhang Tian-qi. A Robust Iterative Detection Algorithm for V-BLAST over Spatially Correlated Channels[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1410-1414. doi: 10.3724/SP.J.1146.2008.00975

Citation:

Jing Xiao-rong, Zhou Zheng-zhong, Zhang Tian-qi. A Robust Iterative Detection Algorithm for V-BLAST over Spatially Correlated Channels[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1410-1414. doi: 10.3724/SP.J.1146.2008.00975

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A Robust Iterative Detection Algorithm for V-BLAST over Spatially Correlated Channels

doi: 10.3724/SP.J.1146.2008.00975 cstr: 32379.14.SP.J.1146.2008.00975

Received Date: 2008-08-04
Rev Recd Date: 2008-12-04
Publish Date: 2009-06-19

Abstract

Abstract

Utilizing the Householder transformation, and combining with the WY representation, a Modified Householder QR-Decomposition (M-H-QRD) algorithm is proposed firstly. In contrast to the sorted QRD (S-QRD) detection algorithm, the M-H-QRD detection algorithm has robust numerical property. Then an iterative detection algorithm for V-BLAST is proposed based on M-H-QRD. The simulation results show that the iterative detection algorithm can achieve obvious performance improvement over the S-QRD detection algorithm and the M-H-QRD detection algorithm. In contrast to the standard V-BLAST algorithm, the iterative detection algorithm has almost the same detection performance as it for high SNR, and outperforms it in the moderate and low SNR region with more robust numerical property.

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References(1)

References

Biglieri E and Calderbank R, et al.. MIMO WirelessCommunications [M]. London: Cambridge University Press,2007: 24-30.[2]Wolniansky P W, Foschini G J, and Golden G D. V-BLAST:An architecture for realizing very high data rates over therich-scattering wireless channel [C]. IEEE ISSSE-98, Pisa,Italy, 1998: 295-300.[3]W bben D and Rinas J, et al.. Efficient algorithm fordecoding layered space-time codes [J].Electronics Letter.2001, 37(22):1348-1350[4]Jaldn J and Ottersten B. On the complexity of spheredecoding in digital communications [J].IEEE Trans. onSignal Processing.2005, 53(4):1474-1484[5]Rezki Z and Haccoun D, et al.. Impact of spatial correlationon the finite-SNR diversity-multiplexing tradeoff [J].IEEETrans. on Wireless Commun.2008, 7(4):1184-1189[6]Golub G H and Van Loan C F. Matrix Computations [M].London: John Hopkins University Press, 1996, Chapter 5.[7]Bolcskei H and Borgmann M, et al.. Impact of thepropagation environment on the performance ofspace-frequency coded MIMO-OFDM [J].IEEE J. Select.Areas Commun.2003, 21(3):427-439[8]Jung H and Cha J, et al.. Efficient transmit power allocationand feedback reduction algorithm for SQRD based V-blastsystems [C]. IEEE PIMRC-2007, Athens Greece, 2007: 1-5.[9]Lee Hyunseok and Jeon Hyoungsuk, et al.. Signal detectionusing log-likelihood ratio based sorting QR decomposition forV-BLAST systems [C]. IEEE VTC-2007, Dublin Ireland,2007: 1881-1885.[10]Bischof C H and Van Loan C F. The WY representation forproducts of Householder matrices [J].SIAM J. Sci. and Stat.Comp.1987, 8:2-13[11]Kim S and Kum Ki-Il, et al.. Fixed-point optimization utilityfor c and c++ based digital signal processing programs [J].IEEE Trans. on Circuits Syst. II, 1998, 11(45): 1455-1464.

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