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dc.contributor.advisorWashburn, Alan R.
dc.contributor.authorConrad, Robert D.
dc.dateMarch 1981
dc.date.accessioned2012-11-20T00:16:53Z
dc.date.available2012-11-20T00:16:53Z
dc.date.issued1981-03
dc.identifier.urihttp://hdl.handle.net/10945/20596
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThis report deals with the development and utilization of a maximum likelihood tracking algorithm designed to handle a single diffusion target. The tracker is required to accept or reject each of a sequence of discrete position reports, some of which are false alarms. Average tracking time, E(T), is defined and used to evaluate tracker performance. The effects of tracker memory are examined and a Kalman filter is developed to handle the effects of measurement error. Simulation results are included.en_US
dc.description.urihttp://archive.org/details/maximumlikelihoo00conr
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. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleA maximum likelihood trackeren_US
dc.typeThesisen_US
dc.contributor.secondreaderJacobs, Patricia A
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Operations Research
dc.subject.authorTrackingen_US
dc.subject.authorKalman filteren_US
dc.subject.authorFalse alarmsen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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