EURASIP Journal on Applied Signal Processing
Matched representations and filters for guided waves
IEEE Transactions on Signal Processing
Unitary equivalence: a new twist on signal processing
IEEE Transactions on Signal Processing
Group delay shift covariant quadratic time-frequencyrepresentations
IEEE Transactions on Signal Processing
Matching pursuits with a wave-based dictionary
IEEE Transactions on Signal Processing
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Passive source localization is a crucial issue in underwater acoustics. In this paper, we focus on shallow water environment (0 to 400 m) and broadband Ultra-Low Frequency acoustic sources (1 to 100 Hz). In this configuration and at a long range, the acoustic propagation can be described by normal mode theory. The propagating signal breaks up into a series of depth-dependent modes. These modes carry information about the source position. Mode excitation factors and mode phases analysis allow, respectively, localization in depth and distance. We propose two different approaches to achieve the localization: multidimensional approach (using a horizontal array of hydrophones) based on frequency-wavenumber transform (F&&-K&& method) and monodimensional approach (using a single hydrophone) based on adapted spectral representation (FT&&a&&method). For both approaches, we propose first complete tools for modal filtering, and then depth and distance estimators. We show that adding mode sign and source spectrum informations improves considerably the localization performance in depth. The reference acoustic field needed for depth localization is simulated with the new realistic propagation modelMoctesuma. The feasibility of both approaches, F&&-K&& and FT&&a&&, are validated on data simulated in shallow water for different configurations. The performance of localization, in depth and distance, is very satisfactory.