Abstract
Acoustic processing for source localization is often limited by uncertainties in the physical properties of the ocean environment, such as the seabed geoacoustic parameters and water-column sound-speed structure. Uncertainties in environmental parameters can be the result of measurement uncertainties and of spatial and temporal variability. Quantifying environmental uncertainties and examining how they are transfered into uncertainties for source localization represents an important and challenging problem. In this paper, Bayesian inference theory is applied to estimate the uncertainties of geoacoustic inversion in the form of marginal probability distributions for the seabed parameters. In addition, a Bayesian form of focalization is developed which incorporates uncertain environmental parameters into the source localization, and quantifies the resulting localization uncertainty in terms of the 2-D marginal probability distribution for source range and depth (i.e., a probability ambiguity surface). Localization uncertainties are examined as a function of the uncertainties in geoacoustic parameters and ocean sound-speed profile.
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© 2002 Springer Science+Business Media Dordrecht
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Dosso, S.E., Wilmut, M.J. (2002). Environmental Uncertainty in Acoustic Inversion. In: Pace, N.G., Jensen, F.B. (eds) Impact of Littoral Environmental Variability of Acoustic Predictions and Sonar Performance. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0626-2_22
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DOI: https://doi.org/10.1007/978-94-010-0626-2_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-3933-8
Online ISBN: 978-94-010-0626-2
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