Statistical estimation of source location in presence of geoacoustic inversion uncertainty
Journal
AIP Conference Proceedings
Journal Volume
1272
Pages
353-359
Date Issued
2010
Author(s)
Gerstoft, Peter
Hodgkiss, William S.
Simmen, Jeffrey
Livingston, Ellen S.
Zhou, Ji-Xun
Li, Feng-Hua
Abstract
A statistical estimation of source location incorporating uncertainty in ocean environmental model parameters is derived using a Bayesian approach. From a previous geoacoustic inversion, a posterior probability distribution (PPD) of the environmental parameters that reflects uncertainty in the ocean environment is obtained. This geoacoustic uncertainty then is mapped into uncertainty in the acoustic pressure field and is propagated through the Bartlett matched‐field processor for source localization. Using data from the ASIAEX 2001 East China Sea experiment, the estimated source location and variability over time are compared with the known source positions.
SDGs
Type
conference paper