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Area of Science:

  • Ocean acoustics
  • Geophysical inversion
  • Signal processing

Background:

  • Traditional geoacoustic inversion often requires multiple hydrophones.
  • Efficient computation of posterior distributions is crucial for complex inversions.
  • Single-hydrophone systems offer advantages in specific operational scenarios.

Purpose of the Study:

  • To present Bayesian matched-field geoacoustic inversion results using data from a single hydrophone.
  • To demonstrate an adaptive Metropolis-Hastings sampling strategy for efficient posterior computation.
  • To validate the method's accuracy using experimental data.

Main Methods:

  • Bayesian matched-field geoacoustic inversion.
  • Adaptive Metropolis-Hastings sampling for efficient posterior distribution computation.
  • Application to the Shallow Water 2006 experimental dataset with two broadband acoustic sources.

Main Results:

  • Accurate estimation of key geoacoustic parameters: source range, source depth, water depth, and sediment compressional sound speed.
  • Successful application of the single-hydrophone inversion technique to experimental data.
  • Demonstration of the adaptive sampling strategy's efficiency.

Conclusions:

  • Bayesian single-hydrophone geoacoustic inversion provides accurate parameter estimates.
  • The method is particularly useful in resource-limited or rapid-deployment scenarios.
  • This approach enhances the feasibility of acoustic inversion in challenging environments.