Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.758269
