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dc.contributor.authorGaver, Donald Paul
dc.contributor.authorJacobs, Patricia A.
dc.contributor.authorPilnick, Steven E.
dc.contributor.authorRichards, F. Russell
dc.date2002
dc.date.accessioned2012-03-14T17:04:15Z
dc.date.available2012-03-14T17:04:15Z
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/10945/728
dc.description.abstractA high-level, low-resolution (HLLR) stochastic model for evaluating the benefits of a Common Relevant Operational Picture (CROP) is described. The model focuses on the sensor-to-shooter information needed by elements of a joint force to engage time critical Targets. The model includes realistic random delays or latency caused by congestion or system unreliability, random times until Target detection and loss, and a probabilistic representation of the Services' overall capability to detect, classify and shoot at a varying set of different Target types. The model results support the following conclusions. CROP can increase the number of time-critical Targets killed, sometimes considerablyen_US
dc.description.abstractCROP can decrease the mean and variance of the number of weapons expended to kill Targetsen_US
dc.description.abstractthe benefits of CROP can be degraded if the CROP process requires more time from Target detection until weapon arrival at the Target.en_US
dc.format.extent50 p.: ill.;28 cm.en_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.titleCROPDUSTER: a model for evaluating the Common Relevant Operational Picture (CROP)en_US
dc.typeReporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.corporateUnited States. Joint Forces Command
dc.contributor.departmentOperations Research
dc.subject.authorWeapons systemsen_US
dc.subject.authorUnited Statesen_US
dc.identifier.oclcocm51618162
dc.identifier.npsreportNPS-OR-02-004


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