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dc.contributor.advisorPace, Phillip E.
dc.contributor.advisorFord, Patrick
dc.contributor.authorBraud, Jeremy J.
dc.dateSep-14
dc.date.accessioned2014-12-05T20:09:56Z
dc.date.available2014-12-05T20:09:56Z
dc.date.issued2014-09
dc.identifier.urihttps://hdl.handle.net/10945/43881
dc.description.abstractAn increasingly dynamic battlefield requires increasingly faster software development. Cyber threats and Information Assurance certifications induce significant delays in software operational deployment designed to meet these emerging battlefield requirements. An alternative software development methodology for Department of Defense (DOD) acquisitions was proposed. The proposed software development methodology uses tailoring of commercial pre-approved applications such as Microsoft Office and Adobe currently available on most DOD networks. The application developed to test the validity of this approach is called the electronic attack platform placement optimization (EAPPO) algorithm. Given digital terrain data, a user inputted strike route, and an enemy order-of-battle (EOB) with their respective jammer techniques as inputs, the application output includes terrain and radar impacted threat range rings, aircraft strike routes, and an optimized flight path for the jamming platform (EA-18G). Successful development of the application validates the potential of using pre-approved, non-compiled software to develop military specific applications, a process that could significantly decrease software development time and cost for the DOD.en_US
dc.description.urihttp://archive.org/details/electronicttackp1094543881
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. Copyright protection is not available for this work in the United States.en_US
dc.titleElectronic attack platform placement optimizationen_US
dc.typeThesisen_US
dc.contributor.secondreaderFouts, Douglas
dc.contributor.departmentElectrical and Computer Engineering
dc.subject.authorJammingen_US
dc.subject.authorEA-18Gen_US
dc.subject.authorLinear Programmingen_US
dc.subject.authorDynamic Programmingen_US
dc.subject.authorMicrosoft Officeen_US
dc.subject.authorGPUen_US
dc.subject.authorRadaren_US
dc.subject.authorBresenham Algorithmsen_US
dc.subject.authorDTEDen_US
dc.subject.authorExcel Graphicsen_US
dc.subject.authorEnemy Order of Battleen_US
dc.subject.authorIntegrated Air Defense Systemsen_US
dc.subject.authorProtected Entityen_US
dc.subject.authorAirborne Electronic Attacken_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster of Science 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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