%0 Conference Proceedings
%T Dispersive Grid-free Orthogonal Matching Pursuit for Modal Estimation in Ocean Acoustics
%+ Lab-STICC_ENSTAB_CID_TOMS
%+ Imagerie Ultrasonore
%+ Lab-STICC_IMTA_CID_TOMS
%+ Département Signal et Communications  (IMT Atlantique - SC)
%+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
%A Paviet-Salomon, Thomas
%A Dorffer, Clément
%A Bonnel, Julien
%A Nicolas, Barbara
%A Chonavel, Thierry
%A Drémeau, Angélique
%< avec comité de lecture
%B ICASSP 2020 : IEEE International Conference on Acoustics, Speech and Signal Processing
%C Barcelona, Spain
%I IEEE
%P 4602-4606
%8 2020-05-04
%D 2020
%R 10.1109/ICASSP40776.2020.9054365
%K Index Terms-Wavenumbers estimation
%K greedy algorithms
%K grid-free algorithms
%K sparse repre- sentation
%K Index Terms-Wavenumbers estimation
%Z Computer Science [cs]/Signal and Image Processing
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X 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.
%G English
%2 https://hal.science/hal-02902490v2/document
%2 https://hal.science/hal-02902490v2/file/ICASSP2020_CPOMP.pdf
%L hal-02902490
%U https://hal.science/hal-02902490
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%~ UNIV-ST-ETIENNE
%~ UNIV-BREST
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%~ ENSTA-BRETAGNE
%~ CNRS
%~ UNIV-LYON1
%~ UNIV-UBS
%~ INSA-LYON
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%~ CREATIS
%~ ENIB
%~ LAB-STICC
%~ LAB-STICC_IMTA_CID_TOMS
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