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A new adaptive blind channel identification algorithm

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  • Peng, Dezhong
  • Xiang, Yong
  • Yi, Zhang

Abstract

This paper addresses the blind identification of single-input multiple-output (SIMO) finite-impulse-response (FIR) systems. We first propose a new adaptive algorithm for the blind identification of SIMO FIR systems. Then, its convergence property is analyzed systematically. It is shown that under some mild conditions, the proposed algorithm is guaranteed to converge in the mean to the true channel impulse responses in both noisy and noiseless cases. Simulations are carried out to demonstrate the theoretical results.

Suggested Citation

  • Peng, Dezhong & Xiang, Yong & Yi, Zhang, 2009. "A new adaptive blind channel identification algorithm," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 354-359.
    • Handle: RePEc:eee:chsofr:v:41:y:2009:i:1:p:354-359
    DOI: 10.1016/j.chaos.2008.01.002
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    References listed on IDEAS

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    1. Li, Yongkun & Xing, Wenya & Lu, Linghong, 2006. "Existence and global exponential stability of periodic solution of a class of neural networks with impulses," Chaos, Solitons & Fractals, Elsevier, vol. 27(2), pages 437-445.
    2. Zhang, Qiang & Wei, Xiaopeng & Xu, Jin, 2005. "New stability conditions for neural networks with constant and variable delays," Chaos, Solitons & Fractals, Elsevier, vol. 26(5), pages 1391-1398.
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