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Volume 14 Issue 4
Jul.  1992
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Wang Yongde. A NEW ADAPTIVE EQUALIZER STRUCTURE FOR NONLINEAR CHANNELS[J]. Journal of Electronics & Information Technology, 1992, 14(4): 354-360.
Citation: Wang Yongde. A NEW ADAPTIVE EQUALIZER STRUCTURE FOR NONLINEAR CHANNELS[J]. Journal of Electronics & Information Technology, 1992, 14(4): 354-360.

A NEW ADAPTIVE EQUALIZER STRUCTURE FOR NONLINEAR CHANNELS

  • Received Date: 1991-06-15
  • Rev Recd Date: 1992-03-07
  • Publish Date: 1992-07-19
  • Based on analysis of non-linear channel models, a new connectionist model adaptive equalizer is constructed. Comparing with the connectionist model using the Volterra series to extend the input vector space, the number of weights with 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 nonminimum phase channels as well as minimum phase channels, if the channel noise is small enough, Testing results of the BER (Bit Error Rate) show that the new adaptive equalizer for non-linear channels is superior to the linear equalizer in the equalization performances.
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  • S. Chen et al., Signal Processing, 20(1990)2, 107-119.[2]M. Schetzen, Proc. IEEE, 69(1981)12, 1557-1573.[3]Oscar Agazzi et al., IEEE Trans. on COM, COM-30(1982)2, 2421-2433.[4]T. Koh et al., IEEE Trans. on ASSP, ASSP-33(1988)12, 1445-1455.[5]C. E. Davila et al., IEEE Trans. on ASSP, ASSP-35(1987)9, 1259-1263.[6]J. W. Peter et al., A New Connectionist Model Based on a Non-Iinear Adaptive Filter, ICASSP, ScOLland, 23-26, May 1989, 1183-1186.[7]R. Garcia-Gomez et al., Adaptive Receiver for Removing Linear and Non-linear Intersymbol Interference by means of Time Delay Neural Nets (AR-TDNN), ICASSP, Scotland, 23-26, May 1989, 2368-2371.[8]F, H. Glanz et al., Deconvolution and Nonlinear Inverse Filtering Using a Neural Network, ICASSP, Scotland, 23-26, May 1989, 2349-2352.[9]W. Thomas Miller, Ⅲ et al., Proc. IEEE, 78(1990)10, 1561-1567.
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