Authors
Adel Belouchrani, Karim Abed-Meraim, J-F Cardoso, Eric Moulines
Publication date
1997/2
Journal
IEEE Transactions on signal processing
Volume
45
Issue
2
Pages
434-444
Publisher
IEEE
Description
Separation of sources consists of recovering a set of signals of which only instantaneous linear mixtures are observed. In many situations, no a priori information on the mixing matrix is available: The linear mixture should be "blindly" processed. This typically occurs in narrowband array processing applications when the array manifold is unknown or distorted. This paper introduces a new source separation technique exploiting the time coherence of the source signals. In contrast with other previously reported techniques, the proposed approach relies only on stationary second-order statistics that are based on a joint diagonalization of a set of covariance matrices. Asymptotic performance analysis of this method is carried out; some numerical simulations are provided to illustrate the effectiveness of the proposed method.
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A Belouchrani, K Abed-Meraim, JF Cardoso… - IEEE Transactions on signal processing, 1997