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

As 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.

Name thesis:degree_name

M.S.E.C.E.

Level thesis:degree_level

Masters

Grantor

Baylor University.

Year dc:date.issued

2020

Author dc:creator

• Dockendorf, Angelique Anne, 1997-

Advisor dc:contributor.advisor

• Baylis, Charles Passant, 1979-

• Cognitive radar.
• Spectrum sharing.
• Notched waveforms.
• Power amplifiers.
• Impedance matching.
• Reconfigurable circuits.

Statement dc:rights

• Baylor University works 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 libraryquestions@baylor.edu for inquiries about permission.

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/2104/11016

OAI identifier oai:identifier

oai:baylor-ir.tdl.org:2104/11016