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Neural Networks-Based Turbo Equalization of a Satellite Communication Channel

Abdulkader, Hasan and Benammar, Bouchra and Poulliat, Charly and Boucheret, Marie-Laure and Thomas, Nathalie Neural Networks-Based Turbo Equalization of a Satellite Communication Channel. (2014) In: 15th International Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2014, 22 June 2014 - 25 June 2014 (Toronto, Canada).

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Official URL: http://dx.doi.org/10.1109/SPAWC.2014.6941914

Abstract

This paper proposes neural networks-based turbo equalization (TEQ) applied to a non linear channel. Based on a Volterra model of the satellite non linear communication channel, we derive a soft input soft output (SISO) radial basis function (RBF) equalizer that can be used in an iterative equalization in order to improve the system performance. In particular, it is shown that the RBF-based TEQ is able to achieve its matched filter bound (MFB) within few iterations. The paper also proposes a blind implementation of the TEQ using a multilayer perceptron (MLP) as an adaptive model of the nonlinear channel. Asymptotic analysis as well as reduced complexity implementations are also presented and discussed.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6941914&tag=1
HAL Id:hal-01147225
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université de Toulouse I-Sciences Sociales - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:16 Mar 2015 12:55

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