Ship source level estimation and uncertainty quantification in shallow water via Bayesian marginalization

Forfatter
Tollefsen, Dag
Dosso, Stan E.
Publisert
2020-04-17
Emneord
Undervannsakustikk
Skipssignatur
Bayes statistikk 
Permalenke
http://hdl.handle.net/20.500.12242/2857
DOI
10.1121/10.0001096
Samling
Articles
Description
Tollefsen, Dag; Dosso, Stan E.. Ship source level estimation and uncertainty quantification in shallow water via Bayesian marginalization. Journal of the Acoustical Society of America 2020 ;Volum 147.(4) s. EL339-EL344
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Sammendrag
This paper applies a non-linear Bayesian marginalization approach to ship spectral source level estimation in shallow water with unknown seabed properties and uncertain source depth. The algorithm integrates the posterior probability density over seabed models sampled via trans-dimensional Bayesian matched-field inversion and over depths/ranges of multiple point sources (representing different noise-generating components of a large ship) via Metropolis-Hastings sampling. Source levels and uncertainty are derived from marginal distributions for source strength. The approach is applied to radiated noise due to a container ship recorded on a bottom-moored horizontal array in shallow water. The average uncertainty is 3.8 dB/Hz for tonal frequencies.
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