INFORMATION FUSION IN UNDERWATER SONAR SIMULATION

被引：2

作者：

Zhu, Yanshen ^{[1
]}

Bull, Maria ^{[2
]}

Akin, Haluk ^{[3
]}

Sepulveda, Jose ^{[3
]}

Rabelo, Luis ^{[3
]}

机构：

[1] Univ Cent Florida, Sch Elect Engn & Comp Sci, Orlando, FL 32816 USA

[2] Univ Catolica Santisima, Dept Ind Engn, Concepcion 4090541, Chile

[3] Univ Cent Florida, Dept Ind Engn & Management Syst, Orlando, FL 32816 USA

来源：

2008 WINTER SIMULATION CONFERENCE, VOLS 1-5 | 2008年

关键词：

D O I：

10.1109/WSC.2008.4736197

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：1250 / +

页数：3

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