Faster circuit optimization techniques for full-band and notched waveforms to enable next-generation radar.

dc.contributor.advisorBaylis, Charles Passant, 1979-
dc.creatorDockendorf, Angelique Anne, 1997-
dc.date.accessioned2020-09-04T18:39:33Z
dc.date.available2020-09-04T18:39:33Z
dc.date.created2020-05
dc.date.issued2020-04-14
dc.date.submittedMay 2020
dc.date.updated2020-09-04T18:39:34Z
dc.description.abstractAs the wireless spectrum becomes increasingly congested, more efficient sharing of the spectrum is desperately needed. In order to coexist, next-generation radars will have to adapt their spectral use in real-time. Two useful baseline technologies in interference-avoiding, adaptive spectrum technologies are the fast reconfiguration of the transmitter power amplifier circuitry and the transmission of spectrally notched waveforms. This thesis presents two algorithms for the real-time circuit optimization necessary in spectrally agile radars: a modified gradient search algorithm for application to a high-power, evanescent-mode cavity tuner that uses previous results to improve reconfiguration time and a modified gradient search algorithm compatible with spectrally notched waveforms. Additionally, this work discusses iterative circuit optimization algorithms for a designed electrically actuated switched-stub tuner.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2104/11016
dc.language.isoen
dc.rights.accessrightsWorldwide access
dc.rights.accessrightsAccess changed 8/24/22
dc.subjectCognitive radar. Spectrum sharing. Notched waveforms. Power amplifiers. Impedance matching. Reconfigurable circuits.
dc.titleFaster circuit optimization techniques for full-band and notched waveforms to enable next-generation radar.
dc.typeThesis
dc.type.materialtext
local.embargo.lift2022-05-01
local.embargo.terms2022-05-01
thesis.degree.departmentBaylor University. Dept. of Electrical & Computer Engineering.
thesis.degree.grantorBaylor University
thesis.degree.levelMasters
thesis.degree.nameM.S.E.C.E.

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