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Methodes pour l'Estimation de canal, Egalisation et Codage pour le Traitement Iteratif en présence d'interférences

Abstract : This thesis report presents some new methods to improve the channel estimation, equalization, and coding for inter symbol interference channels. We begin by a new iterative procedure for channel estimation and detection, named Observation Separation, in a turbo equalization scheme for systems using high level modulation. We extend this technique to the mapping iterative detection. We suggest a binary mapping optimized of 16-QAM constellation to increase the coding gain. Then, we present a decoding algorithm for non binary codes which is accelerated by using the Fast Hadamard Transformer, and with reduced complexity thanks to the duel code. We suggest a new adaptive LDPC code which can be simply applied to the OFDM system and decoded by the rule designed beforehand. Finally, we improve the performance of turbo equalization, by combining all the techniques defined beforehand: non binary LDPC code, interference cancellation equalizer, separation observation and non binary LDPC decoding.
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https://pastel.archives-ouvertes.fr/pastel-00003232
Contributor : Ecole Télécom Paristech <>
Submitted on : Tuesday, November 16, 2010 - 4:03:09 PM
Last modification on : Friday, July 31, 2020 - 10:44:05 AM
Long-term archiving on: : Thursday, December 1, 2016 - 5:40:51 AM

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Alaa Ghaith. Methodes pour l'Estimation de canal, Egalisation et Codage pour le Traitement Iteratif en présence d'interférences. Electronique. Télécom ParisTech, 2006. Français. ⟨pastel-00003232⟩

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