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Proof of principle for inversion of vector sensor array data.

Robert A Koch1

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Summary

This study uses acoustic data from vector sensors to successfully determine seabed geo-acoustic properties and track a vessel. The findings confirm the effectiveness of vector sensor technology for ocean acoustic analysis.

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Area of Science:

  • Oceanography
  • Geophysics
  • Acoustics

Background:

  • Seabed geo-acoustic properties are crucial for underwater acoustic propagation.
  • Traditional methods often rely on hydrophone data, but vector sensors offer additional directional information.
  • Accurate geo-acoustic inversion requires robust data and advanced processing techniques.

Purpose of the Study:

  • To analyze acoustic data from a horizontal line array with co-located hydrophones and vector sensors.
  • To determine seabed geo-acoustic information using simultaneous inversion techniques.
  • To evaluate the efficacy of vector sensor data for geo-acoustic inversion and source tracking.

Main Methods:

  • Collected broadband and continuous wave tone acoustic data using a 22 m horizontal line array.
  • Employed omni-directional hydrophone sensors and acceleration vector sensor triplets.
  • Performed simultaneous inversions for source track and geo-acoustic parameters using 18 tones (62-415 Hz).
  • Compared inversion results from vector sensor acceleration components with hydrophone array components.

Main Results:

  • Geo-acoustic information was successfully extracted from the acoustic data.
  • Inversion solutions using vector sensor acceleration components were nearly identical to those from hydrophone data.
  • Derived source spectra from inversions showed nominal agreement with independent measurements.
  • Demonstrated the efficacy of vector sensor data in geo-acoustic inversions.

Conclusions:

  • Vector sensor data provides reliable information for seabed geo-acoustic characterization.
  • The study validates the use of vector sensors as an effective tool in ocean acoustics.
  • Simultaneous inversion with vector sensor data enhances the accuracy of geo-acoustic parameter estimation.