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一种基于IIR信道输出过采样的SIMO模型 被引量:4

A New SIMO Model Based on Oversampling IIR Channels
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摘要 通过对IIR信道输出的过采样(Oversampling),该文提出一种新的单输入多输出(Single-Input- Multiple-Output,SIMO)模型。较现有模型大大简化,可作为IIR信道盲辨识研究的依据。该文同时分析了采样率和SIMO模型子信道数的关系,并用计算机仿真给出他们对辨识效果的影响,可作为选择采样率和子信道数的参考。 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.
出处 《电子与信息学报》 EI CSCD 北大核心 2005年第7期1058-1060,共3页 Journal of Electronics & Information Technology
基金 教育部博士点基金(2001561007)广东省自然科学基金(31390)资助课题
关键词 盲辨识 多信道模型 过采样 Blind identification, SIMO model, Oversampling
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参考文献6

  • 1Moulines E, Duhamel P, Francois J, Mayargue S. Subspace methods for blind identification of multichannel FIR filters.IEEE Trans. on Signal. Processing, 1995, 43(2): 516 - 525.
  • 2Bai E, Fu M. Blind system identification and channel equalization of IIR systems without statistical information. IEEE Trans. on Signal Processing, 1999, 47(7): 1910 - 1921.
  • 3Raz G M, Van Veen B D. Blind equalization and identification of nonlinear and IIR systems--a least squares approach. IEEE Trans. on Signal Processing, 2000, 48(1): 192 - 200.
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