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Bayesian geoacoustic inversion of ship noise on a horizontal array
1Norwegian Defence Research Establishment, Box 115, 3191 Horten, Norway. dag.tollefsen@ffi.no
The Journal of the Acoustical Society of America
|August 7, 2008
Summary
This study uses Bayesian geoacoustic inversion on quiet ship noise data to determine seafloor properties. Combining multiple data segments significantly reduces uncertainties in geoacoustic parameters.
Area of Science:
- Oceanography
- Acoustics
- Geophysics
Background:
- Geoacoustic inversion is crucial for understanding seafloor properties using acoustic data.
- Low-frequency acoustic data from surface ships offer a potential, yet challenging, source for inversion.
- Quantifying uncertainties is essential for reliable geoacoustic model comparisons.
Purpose of the Study:
- To apply Bayesian matched-field inversion to low-frequency ship noise data in shallow water.
- To compare inversion results from ship noise with those from controlled sources and geophysical data.
- To investigate methods for improving the information content of low-level ship noise data.
Main Methods:
- Utilizing a Bayesian matched-field inversion technique.
- Analyzing low-frequency narrow-band acoustic data from a quiet surface ship.
- Employing a bottom-moored horizontal line array for acoustic data acquisition.
- Investigating the impact of multiple independent data segments on inversion results.
Main Results:
- Geoacoustic inversion of ship noise data yielded comparable results to controlled source data and geophysical measurements.
- Including multiple data segments significantly reduced geoacoustic parameter uncertainties.
- Geoacoustic uncertainties were found to increase with ship range and specific orientations (stern away from the array).
Conclusions:
- Bayesian matched-field inversion is effective for analyzing quiet ship noise data for geoacoustic properties.
- Data segmentation is a viable strategy to enhance the reliability of geoacoustic inversion from low-level noise sources.
- Ship geometry and range relative to the acoustic array influence the precision of geoacoustic parameter estimation.
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