2009 IEEE International Conference on Signal and Image Processing Applications , 2009-11-18

Title : ( A Nonlinear Equalization Technique for Frequency Selective Fading Channels )

Authors: - - , Mohammad Molavi Kakhki ,

Citation: BibTeX | EndNote

Abstract

Abstract—We propose a new equalization technique based on nonlinear Hammerstein type filters to mitigate the intersymbol interference (ISI) effect. This technique is a nonlinear generalization of the linear equalizer. In the present work, linear frequency selective fading channels in presence of additive white gaussian noise are considered and BPSK modulation is employed. Comparison of the simulation results based on our proposed technique with the results obtained when linear equalizer is employed, shows that our technique leads to a considerably better BER performance at moderate and higher SNRs. We also show that our method presents a better MSE estimator than the linear structure

Keywords

, Channel Equalization, Frequency Selective Fading Channels, Hammerstein Filter, Nonlinear Signal Processing
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@inproceedings{paperid:1016845,
author = { -, - and Molavi Kakhki, Mohammad},
title = {A Nonlinear Equalization Technique for Frequency Selective Fading Channels},
booktitle = {2009 IEEE International Conference on Signal and Image Processing Applications},
year = {2009},
location = {کوالالامبور},
keywords = {Channel Equalization; Frequency Selective Fading Channels; Hammerstein Filter; Nonlinear Signal Processing},
}

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%0 Conference Proceedings
%T A Nonlinear Equalization Technique for Frequency Selective Fading Channels
%A -, -
%A Molavi Kakhki, Mohammad
%J 2009 IEEE International Conference on Signal and Image Processing Applications
%D 2009

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