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Geoacoustic and source tracking using particle filtering: experimental results.

Caglar Yardim1, Peter Gerstoft, William S Hodgkiss

  • 1Marine Physical Laboratory, Scripps Institution of Oceanography, La Jolla, California 92093-0238, USA.

The Journal of the Acoustical Society of America
|July 24, 2010
PubMed
Summary

This study introduces a particle filtering (PF) method for real-time geoacoustic inversion using a moving acoustic source. The approach accurately tracks both the source and complex ocean environment parameters simultaneously.

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Area of Science:

  • Ocean acoustics
  • Geophysics
  • Signal processing

Background:

  • Geoacoustic inversion is crucial for understanding underwater environments.
  • Tracking moving acoustic sources in complex environments presents significant challenges.
  • Sequential Monte Carlo methods offer potential for dynamic parameter estimation.

Purpose of the Study:

  • To develop a particle filtering (PF) approach for sequential geoacoustic inversion.
  • To simultaneously estimate environmental and moving source parameters in real-time.
  • To accurately track source trajectories and update environmental models dynamically.

Main Methods:

  • Utilized particle filtering (PF), a sequential Monte Carlo technique.
  • Treated environmental (SSP, depth, bottom) and source (depth, range, speed) parameters as evolving random variables.

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  • Applied the PF to nonlinear systems with non-Gaussian probability densities for robust tracking.

    • Main Results:

    • Demonstrated real-time updating of the ocean acoustic environment.
    • Achieved accurate tracking of the moving acoustic source.
    • Successfully estimated environmental and source parameters and their uncertainties.

    Conclusions:

    • Particle filtering is an effective algorithm for sequential geoacoustic inversion.
    • The PF approach enables simultaneous real-time tracking of sources and environmental parameters.
    • Validated the method using simulated data and experimental data from SWellEx-96.