Source depth estimation using modal decomposition and time-frequency representations
Résumé
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 theorelical model of waveguide. Depth estimation is done comparing estimated modes amplitudes with predicted nnes extracted from simulations at different depths. The robustness against noise is discussed. Validation on real dataset is given.