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Proceedings Paper

Ocean acoustic source localization via Bayesian inversion
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Paper Abstract

In this article we examine time evolution of the a posteriori probability distribution for the source location in an elementary passive sonar model. The approach employs Bayesian inversion to obtain the a posteriori distributions. The resulting multimodal distributions reflect the nonlinear relationship between source location and array output. This probabilistic approach allows us to include a priori information, utilize ocean acoustic modeling, and make direct use of increased data integration time.

Paper Details

Date Published: 15 October 1993
PDF: 8 pages
Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); doi: 10.1117/12.160602
Show Author Affiliations
Richard Pitre, Naval Research Lab. (United States)
Nolan R. Davis, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 1960:
Automatic Object Recognition III
Firooz A. Sadjadi, Editor(s)

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