Identification and Supervised Equalization of a MIMO Non-linear Communication Channel

Nabiha SAIDI, Anouar BEN AMOR, Hassani MESSAOUD
Unité de recherche ATSI, Ecole Nationale d’Ingénieurs de Monastir
Rue Ibn ELJazzar, 5019 Monastir – Tunisia

Abstract: Due to their general non linear structural and their linearity with respect to their parameters, Volterra models are widely used to describe the behaviour of non linear process. In this paper we are concerned by the modelling and the supervised equalization of a Multi Input Multi Output non linear communication channel using Volterra models. To overcome the burden induced by the parameter number increasing, we develop the Volterra kernel on the General Orthogonal Basis GOB to provide a reduced complexity model known as GOB-Volterra model.

Keywords: MIMO Volterra model, identification, modelling, supervised equalization, non linear communication channel.

Saidi Nabiha was born in 1981. She received her Electrical Engineering diploma in 2005 from the School of Engineers in Monastir, Tunisia. She is currently preparing her doctorate in the School of Engineers in Monastir about Modelling, identification and equalization of numerical communication channel.

Ben Amor Anouar was born in 1981. He received his Electrical Engineering diploma in 2005 from the School of Engineers in Gabes, Tunisia. He is currently preparing his doctorate in the School of Engineers in Monastir about Modelling, identification of non linear systems.

Hassani Messaoud is a Professor at the School of Engineers in Monastir, Tunisia. He was graduated from the University of Tunis. He is majoring in process identification and control. Actually his main interest is numerical communication channel equalization using reduced Volterra models.

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CITE THIS PAPER AS:
Nabiha SAIDI, Anouar BEN AMOR, Hassani MESSAOUD, Identification and Supervised Equalization of a MIMO Non-linear Communication Channel, Studies in Informatics and Control, ISSN 1220-1766, vol. 18 (2), pp. 149-158, 2009.