A Probabilistic Focalization Approach for Single Receiver Underwater Localization
Signal Processing
2024-06-26 v2
Abstract
We introduce a Bayesian estimation approach for the passive localization of an acoustic source in shallow water using a single mobile receiver. The proposed probabilistic focalization method estimates the time-varying source location in the presence of measurement-origin uncertainty. In particular, probabilistic data association is performed to match time-differences-of-arrival (TDOA) observations extracted from the acoustic signal to TDOAs predictions provided by the statistical model. The performance of our approach is evaluated using real acoustic data recorded by a single mobile receiver.
Cite
@article{arxiv.2403.03384,
title = {A Probabilistic Focalization Approach for Single Receiver Underwater Localization},
author = {Luisa Watkins and Pietro Stinco and Alessandra Tesei and Florian Meyer},
journal= {arXiv preprint arXiv:2403.03384},
year = {2024}
}