A least squares component normalization approach to blind channel identification

Author

Avendano, Carlos ; Benesty, Jacob ; Morgan, Dennis R.

Author_Institution

CIPIC, California Univ., Davis, CA, USA

Volume

4

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1797

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

Keywords

FIR filters; array signal processing; blind equalisers; estimation theory; identification; least squares approximations; noise; statistical analysis; telecommunication channels; blind channel identification; cross relation properties; ill-conditioned channel conditions; impulse responses; least squares component normalization approach; noisy channel condition; sensor signals; Blind equalizers; Covariance matrix; Degradation; Finite impulse response filter; Higher order statistics; Least squares methods; Sensor phenomena and characterization; Sensor systems; Signal processing; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.758269

Filename

758269