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dc.contributor.authorMiller, Scot A.
dc.contributor.authorRomero, Ric
dc.date2021
dc.date.accessioned2022-06-21T22:53:15Z
dc.date.available2022-06-21T22:53:15Z
dc.date.issued2021
dc.identifier.otherNPS-21-N114-A
dc.identifier.urihttp://hdl.handle.net/10945/69853
dc.descriptionNPS NRP Executive Summary
dc.description.abstractOPNAV and NAVAIR seek to more accurately assess both the engineering-level capability of a set of airborne SIGINT sensors against a representative set of threat emissions, and the impact of those airborne SIGINT sensors on effects chains. Intent is to assess current and future performance, better informing investment and design trade space decisions. The research objectives are threefold: survey existing SIGINT Modeling capabilities within the DOD, design and implement engineering level SIGINT modeling capabilities as required, and finally, match/aggregate those engineering level results to mission level models such as the Naval Simulation System (NSS) and the Advanced Framework for Simulation, Integration, and Modeling (AFSIM). The research approach will be straight forward. All researchers will collaborate on surveying the existing SIGINT modeling domain. Then the research team will create two sub teams. The first will investigate possible SIGINT Engineering modeling solutions. The second team will investigate the requirements for feeding SIGINT engineering details into the mission models. Deliverables are intended to be a completed survey of SIGINT Modeling, with an analysis of possible capability gaps, design and or production of engineering level SIGINT Models, and instructions for how to aggregate SIGINT engineering models into mission level models.
dc.description.sponsorshipN9 - Warfare Systems
dc.language.isoen_US
dc.publisherMonterey, California: Naval Postgraduate School
dc.publisherMonterey, California. Naval Postgraduate School.
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.
dc.titleModeling SIGINTen_US
dc.typeReporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.corporateNaval Research Program (NRP)
dc.contributor.departmentInformation Sciences
dc.subject.authorsignals intelligence
dc.subject.authorSIGINT
dc.subject.authorelectronic intelligence
dc.subject.authorELINT
dc.subject.authorcommunications intelligence
dc.subject.authorCOMINT
dc.subject.authormodeling and simulation
dc.subject.authorNavy Analytic Agenda
dc.subject.authorfusion
dc.subject.authorNaval Simulation System
dc.subject.authorNSS
dc.subject.authorAdvanced Framework for Simulation
dc.subject.authorIntegration
dc.subject.authorand Modeling
dc.subject.authorAFSI
dc.description.funderThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
dc.description.funderChief of Naval Operations (CNO)
dc.description.distributionstatementApproved for public release. Distribution is unlimited. 


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