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dc.contributor.advisorRasmussen, Craig W.
dc.contributor.advisorCioppa, Thomas M.
dc.contributor.authorMlakar, Joseph A.
dc.dateJune 2004
dc.date.accessioned2012-03-14T17:30:49Z
dc.date.available2012-03-14T17:30:49Z
dc.date.issued2004-06
dc.identifier.urihttp://hdl.handle.net/10945/1181
dc.descriptionApproved for public release, distribution is unlimited.en_US
dc.description.abstractHigh-resolution combat simulations that model urban combat currently use computationally expensive algorithms to represent urban target acquisition at the entity level. While this may be suitable for small-scale urban combat scenarios, simulation run time can become unacceptably long for larger scenarios. Consequently, there is a need for models that can lend insight into target acquisition in urban terrain for largescale scenarios in an acceptable length of time. This research develops urban target acquisition models that can be substituted for existing physicsbased or computationally expensive combat simulation algorithms and result in faster simulation run time with an acceptable loss of aggregate simulation accuracy. Specifically, this research explores (1) the adaptability of probability of line of sight estimates to urban terrain; (2) how cumulative distribution functions can be used to model the outcomes when a set of sensors is employed against a set of targets; (3) the uses for Markov Chains and Event Graphs to model the transition of a target among acquisition states; and (4) how a system of differential equations may be used to model the aggregate flow of targets from one acquisition state to another.en_US
dc.description.urihttp://archive.org/details/aggregatemodelsf109451181
dc.format.extentxviii, 134 p. : ill. (some col.), col. mapsen_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.subject.lcshUrban warfareen_US
dc.subject.lcshMarkov processesen_US
dc.titleAggregate models for target acquisition in urban terrainen_US
dc.typeThesisen_US
dc.contributor.secondreaderPhillips, Donovan
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentDepartment of Applied Mathematics
dc.contributor.departmentDepartment of Operations Research
dc.subject.authorProbability of line of sighten_US
dc.subject.authorLine of sighten_US
dc.subject.authorUrban target acquisitionen_US
dc.subject.authorCumulative distribution functionsen_US
dc.subject.authorMarkov chainsen_US
dc.subject.authorSystems of differential equationsen_US
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.nameM.S. in Applied Mathematicsen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.disciplineApplied Mathematicsen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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