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Volume 28 Issue 10
Sep.  2010
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Zhou Liang, Qiu Ling, Zhu Jin-kang. A Novel Adaptive Equalization Algorithm for MIMO Communication System[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1862-1865.
Citation: Zhou Liang, Qiu Ling, Zhu Jin-kang. A Novel Adaptive Equalization Algorithm for MIMO Communication System[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1862-1865.

A Novel Adaptive Equalization Algorithm for MIMO Communication System

  • Received Date: 2005-02-02
  • Rev Recd Date: 2005-07-11
  • Publish Date: 2006-10-19
  • In this paper, a novel adaptive Interference Cancellation Decision Feedback Equalization algorithm based on Recursive Least Squares (RLS-IC-DFE) is proposed for Multi-Input Multi-Output (MIMO) wireless communication systems under frequency selective with time variation environment. This algorithm changes the equalizer of each sub-stream to an equal new longer equalizer, and takes the sub-streams that have been detected as the new input parameters, then uses RLS algorithm to update the parameters of the new equalizer. Simulation results show that the new adaptive RLS-IC-DFE equalizer can adaptively track the variation of wireless channel and save the overhead of training sequence. At the same time, the proposed scheme can provide the better Symbol Error Rate (SER) performance than the existed RLS-DFE algorithm.
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  • Wolniansky P W, Foschini G J, Golden G D, Valenzuela R A. V-BLAST: An architecture for realizing very high data rates over the rich_scattering wireless channel. ISSSE, Pisa, Italy, 1998: 295-300.[2]Alamouti S M. A simple transmit diversity technique for wireless communications, IEEE Journal on Selected Areas in Communications, 1998, 16(8): 1451-1458.[3]Golden G D, Foschini G J, Valenzuela R A, Wolniansky P W. Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture[J].Electron. Letters.1999, 35(1):14-16[4]Xu Zhu, Murch R D. Performance analysis of maximum likelihood detection for a MIMO wireless system[J].IEEE Trans. on Comm.2002, 50(2):187-191[5]Al-Dhahir N, Naguib A F, Calderbank A R. Finite-length MIMO decision feedback equalization for space-time block-codedsignals over multipath-fading channels[J].IEEE Trans. on Vehicular Technology.2001, 50(4):1176-1182[6]Lozano A, Papadias C. Layered space-time receivers for frequency-selective wireless channels[J].IEEE Trans. on Comm.2002, 50(1):65-73[7]Xu Zhu, Murch R D. Layered space-time equalization for wireless MIMO systems[J].IEEE Trans. on Wireless Communications.2003, 2(6):1189-1203[8]Simon Haykin. Adaptive Filter Theory, Fourth Edition, Englewood Cliffs, NJ: Prentice-Hall, 2001, Chapter 9.[9]Komninakis C, Fragouli C, Sayed A H, Wesel R D. Multi-input multi-output fading channel tracking and equalization using Kalman estimation[J].IEEE Trans. on Signal Processing.2002, 50(5):1065-1076[10]Raleigh G, Cioffi J M. Spatio-temporal coding for wireless communications[J].IEEE Trans. on Comm.1998, 46(3):357-366
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