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A General Algebraic Algorithm for Blind Extraction of One Source in a MIMO Convolutive Mixture

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4 Author(s)
Rémi Dubroca ; ISITV, LSEET UMR-CNRS 6017, University of Sud Toulon Var,, La Valette du Var Cedex, France ; Christophe De Luigi ; Marc Castella ; Eric Moreau

The paper deals with the problem of blind source extraction from a multiple-input/multiple-output (MIMO) convolutive mixture. We define a new criterion for source extraction which uses higher-order contrast functions based on so called reference signals. It generalizes existing reference-based contrasts. In order to optimize the new criterion, we propose a general algebraic algorithm based on best rank-1 tensor approximation. Computer simulations illustrate the good behavior and the interest of our algorithm in comparison with other approaches.

Published in:

IEEE Transactions on Signal Processing  (Volume:58 ,  Issue: 5 )