Blind identification of a linear-quadratic model using higher-order statistics

Authors:
M. Krob;M. Benidir
Affiliations:
Lab. des Signaux et Syst., CNRS-ESE, Gif-sur-Yvette, France;Lab. des Signaux et Syst., CNRS-ESE, Gif-sur-Yvette, France
Venue:
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Year:
1993

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Abstract

Blind identification of a linear mixture is a possible approach for source parameter estimation in array processing. The goal is to perform blind identification of a linear-quadratic mixture of independent and circular random components using the singular value decomposition of a third-order output cumulants matrix. This problem is of interest in all areas involving second-order nonlinear mechanisms or systems in which the inputs are unobservable.