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Volume 25 Issue 6
Jun.  2003
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Luo Laiyuan, Xiao Xianci. The Blind Equalization Based on subspace method with fast convergence[J]. Journal of Electronics & Information Technology, 2003, 25(6): 838-843.
Citation: Luo Laiyuan, Xiao Xianci. The Blind Equalization Based on subspace method with fast convergence[J]. Journal of Electronics & Information Technology, 2003, 25(6): 838-843.

The Blind Equalization Based on subspace method with fast convergence

  • Received Date: 2001-11-30
  • Rev Recd Date: 2002-10-14
  • Publish Date: 2003-06-19
  • A large of number sample data is needed by the blind channel equalization based on HOS (High Order Statistics). The performance of equalization was found to be poor in fast change environment or with short data samples. The blind equalization using second order statistics has drawn considerable attention recently. The performance with fast convergence makes it useful in the mobile communications or short-wave communications. The algorithm for subspace method based on the blind channel identification/equalization using Kalman filter equation is presented, which needs a few data. Simulation results show that the algorithm is effective.
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  • Y. Sato, A method of self-recovering equalization for multilevel amplitude modulation, IEEE Trans. on Comm., 1975, COM-23(6), 679-682.[2]A. Bcnvniste, M. Goursat, Blind equalizers, IEEE Trans. on Comm., 1984, COM-32(8), 871-883.[3]D. Hatzinakos, Blind equalization using decision feedback prediction and tricepstrum principle, Signal Processing, 1994, 36(3), 261-276.[4]S. Haykin, Adaptive Filter Theory, New Jersey, Prentice-Hall, Third Edition, 1991, Ch.18.[5]L. Tong, G. Xu, T. Kailath, A new approach to blind identification and equalization of multipathchannel, Proc. of the 25th Asilomar Conference on Signals, Systems, and Computer, Pacific Grove, CA., Nov. 1991, 340-349.[6]H. Liu, G. Xu, A determinstic approach to blind symbol estimation, IEEE Signal Processing Letters, 1994, 1(12), 205-207.[7]E. Moulines.[J].P. Duhamel, J. Cardoso, S. Mayrargue, Subspace methods for the blind identification of multichannel FIR filters, ICASSP94 Adelaide, South Australia.1994,:-[8]P. Vandaele, M. Moonen, Adaptive algorithms for single user blind channel equalization, Proceedings of the Fourth IMA Conference on Mathematics in Signal Processing, Warwick, Dec. 1996,68-72.[9]罗来源,肖先赐,基于卡尔曼滤波技术的盲均衡算法,95年仪器仪表与信号处理年会文集,郑州,1995,179-184.
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