Equalization with decision delay estimation using recurrent neural networks

Authors:
Wassila Chagra;Faouzi Bouani;Ridha Ben Abdennour;Mekki Ksouri;Gérard Favier
Affiliations:
Institut Préparatoire aux Etudes d'Ingénieurs El Manar, Tunis, Tunisia;Institut National des Sciences Appliquées et de Technologie, Tunis, Tunisia;Ecole Nationale d'Ingénieurs de Gabès, Gabès, Tunisia;Institut National des Sciences Appliquées et de Technologie, Tunis, Tunisia;Laboratoire I3S, Sophia-Antipolis, Nice, France
Venue:
Advances in Engineering Software - Advanced algorithms and architectures for signal processing
Year:
2005

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Abstract

In this paper, we propose a new recursive classifier based on a recurrent neural network. A supervised algorithm is employed to estimate the classifier parameters. The proposed classifier is used to form a non-linear Decision Feedback Equalizer (DFE) for communication channels. A new procedure allowing the estimation of the decision delay is also presented so that the classifier parameters and the decision delay are estimated at the same time. This new DFE leads to suitable equalization performances even in presence of non-linear and non-minimum phase channels.