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Related Concept Videos

Propagation of Waves01:07

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Updated: Dec 16, 2025

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Matched-field geoacoustic inversion using propagation invariant in a range-dependent waveguide.

Pengyu Wang1, Wenhua Song2

  • 1Department of Electronic Engineering, Ocean University of China, Qingdao, Shandong Province 266100, China.

The Journal of the Acoustical Society of America
|July 3, 2020
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Summary

This study introduces propagation invariant (PI) to improve geoacoustic inversion. PI enhances matched-field geoacoustic inversion (MFI) by isolating local environmental data, overcoming range-dependent challenges in ocean acoustics.

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Area of Science:

  • Ocean acoustics
  • Geophysical inversion
  • Seabed characterization

Background:

  • Matched-field geoacoustic inversion (MFI) is effective for seabed parameter estimation.
  • MFI performance is limited by range-dependent oceanographic features like sound-speed profiles, bathymetry, and sediment variations.
  • These environmental complexities introduce significant challenges for accurate acoustic propagation modeling.

Purpose of the Study:

  • To propose and evaluate a novel data-driven method, propagation invariant (PI), to enhance geoacoustic inversion.
  • To mitigate the impact of range-dependent environmental variability on MFI.
  • To provide a method for obtaining localized environmental input for MFI.

Main Methods:

  • The propagation invariant (PI) concept is applied as a purely data-driven approach.
  • PI effectively eliminates the influence of intervening range-dependent variations on acoustic signals.
  • Simulations are conducted to apply PI for MFI in a range-dependent acoustic waveguide.

Main Results:

  • The proposed PI method demonstrates robustness in isolating local environmental characteristics.
  • PI provides improved input data for matched-field geoacoustic inversion.
  • Simulations show good MFI performance even in highly range-dependent ocean environments.

Conclusions:

  • The propagation invariant (PI) method offers a significant advancement for geoacoustic inversion.
  • PI successfully overcomes limitations posed by range-dependent oceanographic conditions.
  • This approach enhances the accuracy and reliability of seabed parameter estimation using MFI.