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Communication dans un congrès

Dispersive Grid-free Orthogonal Matching Pursuit for Modal Estimation in Ocean Acoustics

Abstract : Considering low-frequency acoustic sources, shallow-water environments act as modal dispersive waveguides. In this context, the signal can be described as a sum of a few modal components, each of them propagating with its own wavenumber. When dealing with broadband sources, wavenumber-frequency (f-k) diagrams constitute popular representations naturally enabling modal separation. Based on a Fourier transform, they require however a large number of sensors to resolve wavenumbers with a high-resolution. This limitation can be overcame by adding some physical priors to the processing method. In the continuation of previous works, we propose here a new grid-free algorithm allowing a super-resolution of the (f-k) diagram by benifiting from the sparse nature of the wavenumber spectrum and embedding the broadband behavior of the wavenumbers within the algorithm. The method is validated on simulated data.
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https://hal.archives-ouvertes.fr/hal-02902490
Contributeur : Thierry Chonavel <>
Soumis le : lundi 20 juillet 2020 - 08:32:50
Dernière modification le : jeudi 15 octobre 2020 - 04:06:34

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Thomas Paviet-Salomon, Clément Dorffer, Julien Bonnel, Barbara Nicolas, Thierry Chonavel, et al.. Dispersive Grid-free Orthogonal Matching Pursuit for Modal Estimation in Ocean Acoustics. ICASSP 2020 : IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona, Spain. pp.4602-4606, ⟨10.1109/ICASSP40776.2020.9054365⟩. ⟨hal-02902490⟩

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