Fast adaptive ESPRIT algorithm - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2005

Fast adaptive ESPRIT algorithm

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.
Fichier principal
Vignette du fichier
ssp-05.pdf (268.69 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00945279 , version 1 (24-03-2014)

Identifiers

  • HAL Id : hal-00945279 , version 1

Cite

Roland Badeau, Gael Richard, Bertrand David. Fast adaptive ESPRIT algorithm. Proc. of IEEE Workshop on Statistical Signal Processing (SSP), 2005, Bordeaux, France. ⟨hal-00945279⟩
187 View
1324 Download

Share

Gmail Facebook Twitter LinkedIn More