Title: A stochastic subspace algorithm for blind channel identification in noise fields with unknown spatial covariance
Authors: Vandaele, P ×
Moonen, Marc #
Issue Date: Feb-2000
Publisher: Elsevier science bv
Series Title: Signal processing vol:80 issue:2 pages:357-364
Abstract: In this paper, the blind channel identification problem is formulated in a stochastic state space framework. Starting from a state space model, we introduce a preprocessing step based on two orthogonal subspace projections, derived from the theory of Van Overschee and De Moor (Subspace Identification for Linear Systems: Theory, Implementation, Applications, Kluwer Academic Publishers, Dordrecht, 1996). Using these orthogonal projections, we present an algorithm for blind channel estimation which is robust to the spatial color of the noise. (C) 2000 Elsevier Science B.V. All rights reserved.
ISSN: 0165-1684
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

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