Power-amplifier optimization using tunable circuitry and stability analysis methods for the next generation radar.

Hays, Lucilia R., 1993-

Power-amplifier optimization using tunable circuitry and stability analysis methods for the next generation radar.

dc.contributor.advisor	Baylis, Charles Passant, 1979-
dc.creator	Hays, Lucilia R., 1993-
dc.date.accessioned	2018-05-30T12:57:46Z
dc.date.available	2018-05-30T12:57:46Z
dc.date.created	2018-05
dc.date.issued	2018-04-17
dc.date.submitted	May 2018
dc.date.updated	2018-05-30T12:57:46Z
dc.description.abstract	In response to the increasingly congested and contested wireless spectrum, the next generation radar must be adaptive and reconfigurable. A reconfigurable power amplifier is a necessary component of the cognitive radar system. The reconfigurable power-amplifier must operate efficiently and stably while maintaining spectrum compliance. The research in this thesis presents state-of-the-art tuning algorithms for optimizing the load reflection coefficient presented to a transistor by novel tunable circuitry. The algorithms are implemented on systems using a varactor diode network and a high-power handling evanescent mode cavity tuner as the tunable load matching networks. In addition, stability considerations are explored. A new amplifier design tool, the frequency Smith Tube, is presented which allows for broadband stability analysis for small-signal inputs. A real-time stability analysis procedure based on the acceleration of transducer gain during optimization is also presented.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2104/10335
dc.language.iso	en
dc.rights.accessrights	Worldwide access.
dc.rights.accessrights	Access changed 7/31/20.
dc.subject	Reconfigurable circuitry. Stability. Optimization. Power amplifier. Amplifier design. Next generation radar. Tunable circuitry.
dc.title	Power-amplifier optimization using tunable circuitry and stability analysis methods for the next generation radar.
dc.type	Thesis
dc.type.material	text
local.embargo.lift	2020-05-01
local.embargo.terms	2020-05-01
thesis.degree.department	Baylor University. Dept. of Electrical & Computer Engineering.
thesis.degree.grantor	Baylor University
thesis.degree.level	Masters
thesis.degree.name	M.S.E.C.E.