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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

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Sequential source localization in shallow water by single-receiver probabilistic focalization.

Luisa Watkins¹, Pietro Stinco², Alessandra Tesei²

¹Scripps Institution of Oceanography and Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, California 92093, USA.

The Journal of the Acoustical Society of America

|April 15, 2025

Summary

This summary is machine-generated.

This study introduces a Bayesian method for localizing acoustic sources in shallow water using multipath propagation. The approach effectively estimates source range and depth with a single mobile receiver, enhancing underwater acoustic detection.

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Area of Science:

Acoustic signal processing
Underwater acoustics
Bayesian inference

Background:

Acoustic signals in shallow water travel via multiple paths due to reflection and refraction.
Each path offers potential information for pinpointing acoustic source locations.
Existing methods may require multiple receivers or have limitations in complex environments.

Purpose of the Study:

To develop a novel method for localizing continuous acoustic sources in shallow water using a single mobile receiver.
To exploit multipath propagation effects for improved source localization accuracy.
To estimate the time-varying range and depth of acoustic sources under measurement uncertainty.

Main Methods:

Sequential Bayesian estimation framework.
Probabilistic focalization for time-varying source parameter estimation.
Cepstrum processing to extract time-difference-of-arrival (TDOA) measurements.
Probabilistic data association to match measured and modeled TDOAs.

Main Results:

Demonstrated ability to localize continuous acoustic sources using multipath information.
Successful estimation of time-varying range and depth with a single mobile receiver.
Validation of the method through simulations and real-world acoustic data.

Conclusions:

The proposed Bayesian approach effectively utilizes multipath propagation for single-receiver acoustic source localization in shallow water.
Cepstrum processing and probabilistic data association are key components for accurate TDOA extraction and matching.
The method shows promise for various underwater acoustic monitoring and surveillance applications.