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dc.contributor.advisorTummala, Murali
dc.contributor.authorGlenn, Ian Neil
dc.dateDecember 1995
dc.date.accessioned2013-04-29T22:49:35Z
dc.date.available2013-04-29T22:49:35Z
dc.date.issued1995-12
dc.identifier.urihttps://hdl.handle.net/10945/31314
dc.description.abstractThis thesis develops an algorithm to fuse redundant observations due to multiple sensor coverage of a vessel. Fuzzy membership functions are used as a measure of correlation, and a fuzzy associative system determines which observations represent the same vessel. The result is a computationally efficient algorithm. The output of the system is a unique set of vessels identified by unique platform identifiers. Results of tests based on computer simulation of overlapping radar coverage show that the fusion algorithm correctly correlates and fuses the sensor observations. That the VTS system is a subset of the Joint Maritime Command Information System (JMCIS) and ultimately the Global Command and Control Software (GCCS) system makes this algorithm pertinent not only to the US Coast Guard, but also to the US Navy, DOD and other agencies such as the Canadian Navy that use this software.en_US
dc.description.urihttp://archive.org/details/multileveldatass1094531314
dc.format.extent118 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleMultilevel data association for the Vessel Traffic Services system and the Joint Maritime Command Information Systemen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineering
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceCanadian Armed Forces author.en_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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