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Related Experiment Video

Updated: Jan 27, 2026

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A Passive Source Location Method in a Shallow Water Waveguide with a Single Sensor Based on Bayesian Theory.

Xiaoman Li1,2,3, Shengchun Piao4,5,6, Minghui Zhang7,8,9

  • 1Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China. lixiaoman@hrbeu.edu.cn.

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|April 3, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a Bayesian method for passive source location in shallow waters. The approach accurately estimates source and environmental parameters, improving reliability in marine acoustics.

Keywords:
Bayesian methodologypassive locationshallow water waveguidesingle sensorwarping transformation

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Area of Science:

  • Marine acoustics
  • Oceanography
  • Signal processing

Background:

  • Passive source location in shallow water waveguides is challenging due to environmental parameter sensitivity.
  • Traditional methods struggle with environmental mismatches, impacting location accuracy.

Purpose of the Study:

  • To develop a robust Bayesian method for passive source location in shallow water waveguides.
  • To accurately estimate source location and environmental parameters simultaneously.

Main Methods:

  • Utilized Bayesian inversion with normal mode impulse signals extracted via warping transformation.
  • Transformed source location into joint inversion of source and environmental parameters.
  • Employed multi-dimensional posterior probability density (PPD) for accurate estimation.

Main Results:

  • Accurate estimation of source range, depth, and seabed parameters without prior knowledge.
  • Method demonstrated reduced environmental dependency and higher reliability.
  • Root mean squared error (RMSE) decreased with increasing signal-to-noise ratio (SNR).

Conclusions:

  • The proposed Bayesian method offers a reliable and broadly applicable approach for passive source localization in marine environments.
  • Joint inversion of source and environmental parameters enhances accuracy and robustness.
  • Simulation and experimental data validated the method's effectiveness.