Algorithms for fast power amplifier load impedance and input power optimization using the Power Smith Tube.

Simple item page
dc.contributor.advisorBaylis, Charles Passant, 1979-
dc.creatorBarkate, Joseph G., 1991-
dc.date.accessioned2016-06-21T13:57:03Z
dc.date.available2016-06-21T13:57:03Z
dc.date.created2016-05
dc.date.issued2016-04-08
dc.date.submittedMay 2016
dc.date.updated2016-06-21T13:57:03Z
dc.description.abstractThe increasing number of devices occupying the finite wireless broadband spectrum has led to serious concerns regarding spectral congestion. To facilitate radar and communication spectral coexistence, reconfigurable, adaptive amplifiers are expected to be a critical component in future cognitive radar transmitters. This work details a method to visualize and simultaneously optimize the load reflection coefficient and input power of a power amplifier device in order to achieve the highest possible efficiency while meeting a predefined spectral spreading constraint. The proposed vector-based search utilizes gradients as well as momentum in the Power Smith Tube in order to optimize accurately with as few experimental queries as possible. This method is proven to be feasible in higher dimensions, allowing for future implementation in real-time reconfigurable power amplifiers.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2104/9613
dc.language.isoen
dc.rights.accessrightsWorldwide access.
dc.rights.accessrightsAccess changed 7/12/18.
dc.subjectPower amplifier. Load impedance. Input power. Optimization. Real-time. Algorithm. Reconfigurable.
dc.titleAlgorithms for fast power amplifier load impedance and input power optimization using the Power Smith Tube.
dc.typeThesis
dc.type.materialtext
local.embargo.lift2018-05-01
local.embargo.terms2018-05-01
thesis.degree.departmentBaylor University. Dept. of Electrical & Computer Engineering.
thesis.degree.grantorBaylor University
thesis.degree.levelMasters
thesis.degree.nameM.S.E.C.E.

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
BARKATE-THESIS-2016.pdf
Size:
6.1 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
Joseph_Barkate_copyrightavailabilityform.pdf
Size:
838.61 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.95 KB
Format:
Plain Text
Description:
Download

Collections

Electronic Theses and Dissertations
Theses/Dissertations - Electrical and Computer Engineering