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dc.contributor.advisorTummala, Murali
dc.contributor.authorMidwood, Sean A.
dc.date.accessioned2013-04-30T21:56:05Z
dc.date.available2013-04-30T21:56:05Z
dc.date.issued1997-09
dc.identifier.urihttps://hdl.handle.net/10945/31943
dc.description.abstractThis thesis develops an algorithm to fuse redundant observations due to multiple sensor (type and location) coverage in order to provide a significant reduction in duplicate track information provided to Vessel Traffic Services (VTS) operator displays. The design of the algorithm allows acceptance of inputs from any type of sensor (radar, acoustic, OPS, system generated and manual tracks) as long as the basic decision criteria elements are provided. The result of this effort is a computationally efficient and cost effective software solution to a significant system deficiency that impacts greatly on overall waterway safety. The algorithm is tested with real data collected from the VTS system at Puget Sound in September 1996. The results indicate that the algorithm correctly fuses redundant sensor observations on the same vessel resulting in a significant reduction in the amount of unnecessary information presented to the VTS operator.en_US
dc.description.urihttp://archive.org/details/acomputationally1094531943
dc.format.extentxii, 64 p.: ill.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshMultisensor data fusionen_US
dc.subject.lcshHarbors United Statesen_US
dc.subject.lcshTraffic controlen_US
dc.subject.lcshData processingen_US
dc.subject.lcshDetectorsen_US
dc.subject.lcshElectronics in navigationen_US
dc.titleA computationally efficient and cost effective multisensor data fusion algorithm for the United States Coast Guard Vessel Traffic Services systemen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentElectrical Engineering
dc.subject.authorNAen_US
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
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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