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Communication Dans Un Congrès Année : 2019

Spatial matrix covariance estimation and acoustic source localization by sparse approaches

Wenmeng Xiong
  • Fonction : Auteur
  • PersonId : 1243548
Gilles Chardon
José Picheral
Sylvie Marcos
Francois Ollivier

Résumé

This paper addresses the problem of estimating the spatial covariance matrix of acoustic sources. This approach improves the localization of correlated sources. Since it provides information on their correlation, it also brings a better characterization of their nature. Two methods are proposed: a penalized approach, with `1 and trace regularization terms, as well as a greedy method (Orthogonal Least Squares), both promoting the sparsity of the coefficients of the matrix and its low rank. Experimental results show the interest of the proposed approaches to locate correlated sources, or in presence of reflections
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Dates et versions

hal-04466667 , version 1 (19-02-2024)

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  • HAL Id : hal-04466667 , version 1

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Wenmeng Xiong, Gilles Chardon, José Picheral, Sylvie Marcos, Francois Ollivier. Spatial matrix covariance estimation and acoustic source localization by sparse approaches. 26th International Congress on Sound and Vibration, Jul 2019, Montréal, Canada. ⟨hal-04466667⟩
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