Bayesian time delay estimation for ocean acoustic tomography

Author

Mauuary, D. ; Jourdain, G.

Author_Institution

Centre d´´Etudes des PHenomenes Aleatoires et Geophys., Saint Martin d´´Heres, France

Volume

ii

fYear

1994

fDate

19-22 Apr 1994

Abstract

We use the concept of Bayesian estimation for estimating the time delays in multipath ocean acoustic tomography (MOAT). The time delay estimation (TDE) from a signal waveform can be seen as a full inversion problem which has to be associated to the geophysical inversion (GI) scheme. Using as a consequence some Bayesian algorithms, they cope with some problems which classically happen in MOAT (unstability and poor signal to noise ratio data). A supplementary reason to use Bayesian algorithms is that it is easy to find some pertinent prior information. Bayesian TDE gives a chance for the tomographic tool to apply in difficult oceanic conditions

Keywords

Bayes methods; acoustic signal processing; acoustic tomography; delays; geophysical signal processing; maximum likelihood estimation; oceanographic techniques; underwater sound; Bayesian algorithms; Bayesian time delay estimation; SNR; full inversion problem; geophysical inversion; maximum likelihood estimation; ocean acoustic tomography; oceanic conditions; poor signal to noise ratio data; signal waveform; unstability; Acoustic propagation; Bayesian methods; Delay effects; Delay estimation; Gaussian noise; Nonlinear equations; Oceans; Sea measurements; Signal to noise ratio; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389650

Filename

389650