Mode characterization in shallow water using warping tools

Autor: Grégoire Le Touzé, Julien Bonnel, Barbara Nicolas, Jerome Mars, Dominique Fattaccioli
Přispěvatelé: GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA ), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Centre Technique des Systemes Navals (CTSN), DGA, Bourse DGA, CTSN, Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Mars, Jerome
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: Acoustics 2009-157th Meeting of The Acoustical Society of America
Acoustics 2009-157th Meeting of The Acoustical Society of America, May 2009, Portland, United States. pp.2541-2541
Popis: Résumé publié in The Journal of The Acoustical Society of America, 125 (4) 2541. Lien sur JASA http://scitation.aip.org/vsearch/servlet/VerityServlet?KEY=ASADL&smode=strresults&sort=rel&maxdisp=25&threshold=0&pjournals=ARLOFJ%2CJASMAN%2CNOCOAN%2CSOUCAU%2CPMARCW%2CATCODK%2CASASTR&possible1=Mode+characterization+in+shallow&possible1zone=article&OUTLOG=NO&viewabs=JASMAN&key=DISPLAY&docID=1&page=0&chapter=0; International audience; In underwater acoustics, shallow water is a complex and dispersive medium. For low frequencies, the propagation is described by normal mode theory. Modes are nonlinear structures overlapped in time, in frequency, and in time-frequency domains. Advanced signal processing methods are needed to study them. This paper presents two different warping methods allowing modal separation and estimation of parameters of the modes. As these transformations are invertible, they also allow modal filtering. Thus, they are a good preprocessing tool for source localization or tomography. This is shown on simulations and real data. Warping is a transformation of a propagated signal and is based on an environment model. Here the environment is modeled with isovelocity or Pekeris waveguide. However, both methods are quite robust to mismatches with the real environment and can be used with minimal preliminary knowledge of the real environment. The first warping method is applied on the time domain. It transforms each mode into a sinus function of frequency fm (with fm the cutoff frequency of the mode m). The second is applied on the frequency domain. It transforms a chosen mode into a dirac, which is localized on the arrival time of the mode.
Databáze: OpenAIRE