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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.
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Submitted on : Monday, March 24, 2014 - 4:24:38 PM
Last modification on : Tuesday, March 8, 2022 - 5:46:03 PM
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  • HAL Id : hal-00945279, version 1



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



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