Abstract
We consider passive localization and tracking of an underwater acoustic source from measurements provided by a vertical line array. A focalization approach is introduced that probabilistically associates detected directions of arrival (DOAs) to modeled DOAs and jointly estimates the time-varying source location. Modelled DOAs are provided by an embedded ray tracing processor that makes use of environmental parameters to characterize the acoustic waveguide. Due to its statistical model, the proposed Bayesian method can provide robustness against inaccurate environmental parameters as well as an uncertainty characterization for estimated source locations. We demonstrate performance advantages compared to matched field processing using data collected during the SWellEx-96 experiment.
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