Source depth estimation using modal decomposition and time-frequency representations

Source localization in shallow water environment is a crucial issue in underwater acoustics. Many methods for the source depth estimation use modal decomposition. Most of them use a multi-sensor array (vertical or horizontal). We propose a method based on time-frequency representations and matched m...

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Bibliographic Details
Main Authors: Le Touze, G., Nicolas, B., Lacoume, J.-L., Mars, J., Fattaccioli, D.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic sensors
Acoustic waveguides
Amplitude estimation
Frequency estimation
Noise robustness
Time frequency analysis
Underwater acoustics
Water resources
Waveguide theory
Working environment noise
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Summary:Source localization in shallow water environment is a crucial issue in underwater acoustics. Many methods for the source depth estimation use modal decomposition. Most of them use a multi-sensor array (vertical or horizontal). We propose a method based on time-frequency representations and matched mode processing. It needs thus only one sensor. Modes amplitudes are estimated on time-frequency representation starting for a theoretical model of waveguide. Depth estimation is done comparing estimated modes amplitudes with predicted ones extracted from simulations at different depths. The robustness against noise is discussed. Validation on a real dataset is given.
DOI:10.1109/OCEANSE.2005.1513145