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Volume 30 Issue 8
Jan.  2011
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Xiao Hong, Luo Han-wen, Liang Yong-ming. RLS Channel Estimation via the Iterative-MAP Algorithm for MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1787-1790. doi: 10.3724/SP.J.1146.2007.00122
Citation: Xiao Hong, Luo Han-wen, Liang Yong-ming. RLS Channel Estimation via the Iterative-MAP Algorithm for MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1787-1790. doi: 10.3724/SP.J.1146.2007.00122

RLS Channel Estimation via the Iterative-MAP Algorithm for MIMO-OFDM Systems

doi: 10.3724/SP.J.1146.2007.00122
  • Received Date: 2007-01-19
  • Rev Recd Date: 2007-07-30
  • Publish Date: 2008-08-19
  • This paper proposes an iterative Maximum A Posteriori (MAP) probability channel estimation algorithm for MIMO-OFDM systems. The receiver employs the soft systematic bits and soft parity bits of MAP decoding and feeds them back to the channel estimator through nonlinear mapping. To track the time-varying channel, the estimator adopts the Recursive Least Squares (RLS) adaptive filtering algorithm so as to improve the accuracy of the estimation. Computer simulations show that the proposed algorithm can achieve much better performance than the conventional Least Squares (LS) channel estimation in both Mean Square Error (MSE) and Frame Error Rate(FER) .
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  • Agrawal D, Tarokh V, and Naguib A, et al.. Space-time codedOFDM for high data-rate wireless communication overwideband. In Proc. IEEE VTC, Ottawa, Ont., Canada, May1998,Vol.3: 2232-2236.[2]Song Bowei, Zhang Wenzhun, and Gui Lin. Iterative jointchannel estimation and signal detection in MIMO-OFDMsystems[J].Proceedings. 2005 International Conference onWireless Communications, Networking and MobileComputing, 23-26 Sept.2005, Vol.1:39-43[3]Chen Jiming and Li Shaoqian. Iterative channel estimationfor MIMO-OFDM systems[J].Proceedings. 2005 InternationalConference on Communications, Circuits and Systems, 27-30May.2005, Vol.1:180-184[4]Berrou C, Glavieux A, and Thitimajshima P. Near Shannonlimit error correcting coding and decoding: Turbo codes(1)[A]. Procedings of the IEEE International Conference onCommunications[C]. Geneva, Switzerland, 1993: 1064-1070.[5]Valenti M C and Woerner B D. Iterative channel estimationand decoding of pilot symbol assisted Turbo codes overflat-fading channels. IEEE J. on SAC, 2001, 19(9): 1697-1705.[6]Saux B L and Helard M. Iterative channel estimation basedon linear regression for a MIMO-OFDM system. IEEEInternational Conference on Wireless and Mobile Computing.[J].Networking and Communications, Montral, Canada, 19-21June.2006,:-[7]Bahl L R, Cocke J, and Jelinek E, et al.. Optimum decodingof linear codes for minimizing symbol error rate. IEEE Trans.on Information Theory, 1974, 20(2): 284-287.[8]Haykin S. Adaptive Filter Theory. 4th ed., New Jersey, USA:Prentice-Hall, 2002, chap. 9.[9]Li Y. Simplified channel estimation for OFDM systems withmultiple transmit antennas[J].IEEE Trans. on Communications.2002, 1(1):67-75[10]Barhumi I and Leus G. Optimal training design forMIMO-OFDM systems in mobile wireless channels[J].IEEETrans. on Signal Procesing.2003, 51(6):1615-1624
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