A least squares component normalization approach to blind channel identification

Authors:
C. Avendano;J. Benesty;D. R. Morgan
Affiliations:
CIPIC, California Univ., Davis, CA, USA;-;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
Year:
1999

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Abstract

We describe a new method for blind system identification that uses the cross relation properties between two or more sensor signals to estimate the impulse responses of the channels. The method performs as well or better than other similar blind identification techniques under noisy and ill-conditioned channel conditions, and is computationally simpler to implement.