Subspace based blind identification of LTI FIR MIMO systems and equalization of finite memory SIMO Volterra systems

Authors:
Diamantis Kotoulas;Panos Koukoulas;George-Othon Glentis
Affiliations:
Department of Access Network Planning, Division of Network Technologies, Hellenic Telecommunications Organization, 99 Kifissias Avenue, 151 24 Maroussi, Athens, Greece;Electronics Division, Telecommunications Section, Hellenic Civil Aviation Authority, Ministry of Transport and Communications, 166 10 Glifada, Athens, Greece;Department of Science and Technology of Telecommunications, University of Peloponnesus, Tripoli 22100, Greece
Venue:
Signal Processing
Year:
2011

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Abstract

In this paper a novel algorithm based on subspace projections is developed for the blind kernel identification of LTI FIR multiple input multiple output (MIMO) systems, as well as blind equalization of finite memory SIMO Volterra systems. In addition, for Volterra systems, the algorithm computes the memory lengths of the nonlinearities involved. Simulations in the context of blind channel equalization and identification demonstrate good performance in comparison to existing schemes.