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A new adaptive equalizer structure for nonlinear channels

  • Published:
Journal of Electronics (China)

Abstract

Based on the analysis of nonlinear channel models, a new connectionist model of adaptive equalizer is constructed. Comparing with the connectionist model using the Volterra series to extend the input vector space, the number of weights with the new structure is reduced significantly. It is shown by simulations that the weight values of the new scheme converge to the optimal values closely for non-minimum phase channels as well minimum phase channels, if the channel noise is small enough. Testing results of the BER (Bit Error Rate) tell us that the new adaptive equalizer for nonlinear channels is superior to the conventional linear equalizers in the equalization performances.

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Authors and Affiliations

  1. Sichuan University Sichuan, 610064, Chengdu

    Wang Yongde

Authors
  1. Wang Yongde
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Supported by National Natural Science Foundation of China

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Yongde, W. A new adaptive equalizer structure for nonlinear channels. J. of Electron.(China) 10, 25–33 (1993). https://doi.org/10.1007/BF02778758

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  • DOI: https://doi.org/10.1007/BF02778758

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