Waveform and circuit optimizations to provide spectral compliance for cognitive radar.

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dc.contributor.advisorBaylis, Charles Passant, 1979-
dc.contributor.authorFellows, Matthew, 1989-
dc.contributor.departmentElectrical and Computer Engineering.en_US
dc.contributor.schoolsBaylor University. Dept. of Electrical and Computer Engineering.en_US
dc.date.accessioned2014-06-11T13:31:00Z
dc.date.available2014-06-11T13:31:00Z
dc.date.copyright2014-05
dc.date.issued2014-06-11
dc.description.abstractSpectrum requirements on radar systems are becoming stricter due to the increasing number of wireless devices inhabiting the frequency spectrum. Future radar systems that are cognitive and flexible will be able to operate more effectively in the next-generation spectral environment. Cognitive Radar is a radar that can adapt to changing requirements placed upon it. The goal of the research presented in this thesis is to empower cognitive radar systems to adapt to changing requirements while maintaining the best level of performance possible. Maintaining that level of performance requires two things: adapting the radar waveform for optimum target detection capability and adapting the load impedance for optimum power efficiency while keeping in compliance with the spectrum requirements.en_US
dc.description.degreeM.S.E.C.E.en_US
dc.identifier.urihttp://hdl.handle.net/2104/9064
dc.language.isoen_USen_US
dc.publisheren
dc.rightsBaylor University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact librarywebmaster@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.subjectLoad pull optimization algorithm.en_US
dc.subjectAmbiguity function optimization algorithm.en_US
dc.subjectCognitive radar.en_US
dc.titleWaveform and circuit optimizations to provide spectral compliance for cognitive radar.en_US
dc.typeThesisen_US

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