Adaptive subspace estimation-application to moving sources localization and blind channel identification

Author

Riou, Christian ; Chonavel, Thierry ; Cochet, Pierre-Yues

Author_Institution

ENST de Bretagne, Brest, France

Volume

3

fYear

1996

fDate

7-10 May 1996

Firstpage

1648

Abstract

We present a new direct adaptive subspace estimation (DASE) algorithm, based on direct parametrization of the eigenvectors with their coefficients. Its application to sources localization and blind channel identification is described. We also present the study of its asymptotic performance and show the good behavior of our algorithm, compared to another adaptive algorithm based on a Givens rotations parametrization

Keywords

adaptive estimation; adaptive signal processing; array signal processing; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; telecommunication channels; DASE algorithm; DOA; Givens rotations parametrization; asymptotic performance; blind channel identification; coefficients; covariance matrix; direct adaptive subspace estimation; eigenvectors parametrization; moving sources localization; signal processing; Adaptive algorithm; Adaptive estimation; Convolution; Covariance matrix; Eigenvalues and eigenfunctions; Parameter estimation; Robustness; Signal processing; Signal processing algorithms; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544121

Filename

544121