Title

Information Fusion In Underwater Sonar Simulation

Abstract

This paper discusses information fusion methodologies, selection of one of these methodologies, and application of these fusion methodologies to underwater sonar simulation. Bayesian Inference and Dempster-Shafer are the two methods that have been studied in detail. In conclusion, the Dempster-Shafer approach was selected as the preferred method.Dempster-Shafer's main advantage is that it does not need conditional likelihoods. Also, Dempster- Shafer does not have computational complexity problems when multiple hypotheses and multiple conditional dependent events are examined. This method was applied to the multisensor information fusion problem in a simulation which includes a passive sonar, an active sonar, and a radar. The simulation is conducted on a geographical information system. © 2008 IEEE.

Publication Date

12-1-2008

Publication Title

Proceedings - Winter Simulation Conference

Number of Pages

1250-1258

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/WSC.2008.4736197

Socpus ID

60749136325 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/60749136325

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