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dc.contributor.advisorPace, Phillip E.
dc.contributor.advisorSchleher, D. Curtis
dc.contributor.authorPersson, Christer N. E.
dc.date.accessioned2012-03-14T17:48:23Z
dc.date.available2012-03-14T17:48:23Z
dc.date.issued2003-09
dc.identifier.urihttp://hdl.handle.net/10945/6286
dc.descriptionApproved for public release; distribution in unlimited.en_US
dc.descriptionSignal Processingen_US
dc.descriptionImage Processingen_US
dc.descriptionLPIen_US
dc.descriptionLPI Radar Signalsen_US
dc.descriptionClassificationen_US
dc.description.abstractThe characteristic of low probability of intercept (LPI) radar makes it difficult to intercept with conventional signal intelligence methods so new interception methods need to be devel-oped. This thesis initially describes a simulation of a polytime phase-coded LPI signal. The thesis then introduces a method for classification of LPI radar signals. The method utilizes a parallel tree structure with three separate "branches" to exploit the image representation formed by three separate detection methods. Each detection method output is pre-processed and fea-tures are extracted using image processing. After processing the images, they are each fed into three separate neural networks to be classified. The classification output of each neural network is then combined and fed into a fourth neural network performing the final classification. The outcome of testing shows only 53%, which might be the result of the image representation of the detection methods not being distinct enough, the pre -processing/feature extraction not be-ing able to extract relevant information or the neural networks not being properly trained. The thesis concludes with a brief discussion about a suitable method for image processing to extract significant parameters from a LPI signal.en_US
dc.description.urihttp://archive.org/details/classificationnd109456286
dc.format.extentxx, 127 p. : ill. (some col.) ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.subject.lcshSignal processingen_US
dc.subject.lcshImage processingen_US
dc.subject.lcshLow probability of intercept radaren_US
dc.subject.lcshRadaren_US
dc.titleClassification and analysis of low probability of intercept radar signals using image processingen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentInformation Sciences (IS)
dc.contributor.departmentEngineering Science (Electrical Engineering)
dc.description.serviceLieutenant Colonel, Swedish Air Forceen_US
etd.thesisdegree.nameM.S. in Systems Engineering and M.S. in Engineering Science (Electrical Engineering)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineSystems Engineering and Engineering Science (Electrical Engineering)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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