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Volume 27 Issue 7
Jul.  2005
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Tian Li-bin, Chen Fang-jiong, Wei Gang. A New SIMO Model Based on Oversampling IIR Channels[J]. Journal of Electronics & Information Technology, 2005, 27(7): 1058-1060.
Citation: Tian Li-bin, Chen Fang-jiong, Wei Gang. A New SIMO Model Based on Oversampling IIR Channels[J]. Journal of Electronics & Information Technology, 2005, 27(7): 1058-1060.

A New SIMO Model Based on Oversampling IIR Channels

  • Received Date: 2004-04-06
  • Rev Recd Date: 2004-09-23
  • Publish Date: 2005-07-19
  • A new Single-Input-Multiple-Output (SIMO) model by oversampling the output of an IIR channel is proposed. This new model is much simpler than existing one and it makes blind IIR channel identification easier to be achieved. Extensive discussions and computer simulation results are given. The efficiency and effectiveness of oversampling ratio and subchannels number of the proposed model are presented. This becomes an important cornerstone for further study in blind IIR channel identification.
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  • Moulines E, Duhamel P, Francois J, Mayargue S. Subspace methods for blind identification of multichannel FIR filters[J].IEEE Trans. on Signal. Processing.1995, 43(2):516-[2]Bai E, Fu M. Blind system identification and channel equalization of IIR systems without statistical information[J].IEEE Trans. on Signal Processing.1999, 47(7):1910-[3]Raz G M, Van Veen B D. Blind equalization and identification of nonlinear and IIR systems--a least squares approach[J].IEEE Trans. on Signal Processing.2000, 48(1):192-[4]Chen F, Kwong S, Wei G, Ku C K W, Man K F. Blind linear channel estimation using genetic algorithm and SIMO model[J].Signal Processing.2003, 83(9):2021-[5]Leung H, Wang S, Chan A M. Blind identification of an autoregressive system using a nonlinear dynamical approach[J].IEEE Trans. on Signal Processing.2000, 48(11):3017-[6]张贤达.现代信号处理.北京:清华大学出版社,1994:87-90.
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