Title :
Probabilistic ray identification: a new tool for ocean acoustic tomography
Author :
Martin-Lauzer, F.R. ; Mauuary, D. ; Stephan, Y.
Author_Institution :
CMO, Brest, France
Abstract :
A crucial point in multipath ocean acoustic tomography (MOAT) is to associate the estimated time delays to acoustical paths in order to make a correct geophysical inversion. The authors propose a theoretic tool to solve the problem of ray identification in term of probabilistic data association and find the theory suitable to be used on a real data tomography experiment for which the classical tools were inefficient because of a large quantity of unresolved and unstable paths. It promises some useful results for future tomography experiment made in difficult acoustic conditions
Keywords :
acoustic signal processing; acoustic tomography; delays; oceanographic techniques; underwater sound; MOAT; acoustic conditions; acoustical paths; geophysical inversion; multipath ocean acoustic tomography; ocean acoustic tomography; probabilistic data association; probabilistic ray identification; time delays; Acoustic propagation; Acoustic signal detection; Delay effects; Delay estimation; Oceans; Signal processing; Signal to noise ratio; Solid modeling; Tomography; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389659
