DocumentCode
1892754
Title
Fast adaptive esprit algorithm
Author
Badeau, Roland ; Richard, Gaël ; David, Bertrand
Author_Institution
Departement de Traitement du Signal et des Images, Ecole Nationale Superieure des Telecommun., Paris
fYear
2005
fDate
17-20 July 2005
Firstpage
289
Lastpage
294
Abstract
The ESPRIT algorithm is a subspace-based high resolution method used in source localization and spectral analysis. It relies on the rotational invariance property of the signal subspace, and provides accurate estimates of the signal parameters. However, its main drawback is a high computational cost. In an adaptive context, some very fast algorithms were proposed to robustly track the variations of the signal subspace. Based on these subspace trackers, we propose a new adaptive implementation of the ESPRIT algorithm, faster than the existing methods
Keywords
signal resolution; spectral analysis; tracking; adaptive ESPRIT algorithm; rotational invariance property; source localization; spectral analysis; subspace tracker; subspace-based resolution method; Adaptive algorithm; Computational efficiency; Eigenvalues and eigenfunctions; Image resolution; Matrix decomposition; Parameter estimation; Robustness; Signal analysis; Signal resolution; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628608
Filename
1628608
Link To Document