Adaptive ESPRIT algorithm based on the PAST subspace tracker

Author

Badeau, Roland ; Richard, Gael ; David, Bertrand

Author_Institution

Ecole Nat. Superieure des Telecommun., Paris, France

Volume

6

fYear

2003

fDate

6-10 April 2003

Abstract

The Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm is a subspace-based analysis method used in source localization or frequency estimation, originally designed in a block signal processing context. In other respects, the Projection Approximation Subspace Tracker (PAST) is a fast and robust subspace tracking method. This paper introduces a new frequency estimation and tracking algorithm, which relies on the PAST subspace tracker and a fast adaptive implementation of the ESPRIT algorithm.

Keywords

adaptive filters; adaptive signal processing; approximation theory; frequency estimation; tracking filters; ESPRIT; Estimation of Signal Parameters via Rotational Invariance Techniques; PAST; Projection Approximation Subspace Tracker; adaptive algorithm; frequency estimation; robust subspace tracking; subspace-based analysis; Algorithm design and analysis; Covariance matrix; Data mining; Eigenvalues and eigenfunctions; Frequency estimation; Matrix decomposition; Parameter estimation; Robustness; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1201660

Filename

1201660