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 :
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