Automatic and passive whale localization in shallow water using gunshots

• Published in: OCEANS 2008
• Main Authors: Bonnel, Julien, Le Touzé, Grégoire, Nicolas, Barbara, Mars, Jerome, Gervaise, Cedric
• Other Authors: 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), Extraction et Exploitation de l'Information en Environnements Incertains (E3I2), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2008
• Subjects: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Canada; North Atlantic
• Online Access: https://hal.science/hal-00324547; https://hal.science/hal-00324547/document; https://hal.science/hal-00324547/file/Oceans08_Bonnel.pdf; https://doi.org/10.1109/OCEANS.2008.5151937

International audience This paper presents an automatic and passive localization algorithm for low frequency impulsive sources in shallow water. This algorithm is based on the normal mode theory which characterizes propagation in this configuration. It uses specific signal processing tools and time-frequency representations to automatically extract features of the propagation. Then, it uses the dispersive properties of the oceanic waveguide as an advantage to perform the localization. Only few hydrophones are needed and neither knowledge of the oceanic environment nor simulation of the propagation is required. The proposed method is successfully applied on North Atlantic Whale gunshots in the Bay of Fundy recorded with a network of three hydrophones.