Statistical estimation of source location in presence of geoacoustic inversion uncertainty
Author(s) -
ChenFen Huang,
Peter Gerstoft,
William S. Hodgkiss
Publication year - 2009
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.3097690
Subject(s) - inversion (geology) , bayesian probability , geology , estimation , probability distribution , statistical model , computer science , acoustics , environmental science , statistics , mathematics , seismology , artificial intelligence , physics , management , economics , tectonics
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 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.
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