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Baylor University.

Circuit modeling and optimization techniques for next-generation radar.

Abstract

dc:description.abstract

Spectral emission requirements for radar systems are becoming increasingly strict. Future radar systems will require well-designed, reconfigurable circuitry to coexist with the myriads of wireless devices using the spectrum. There are two main goals of this research. The first goal is to demonstrate circuit optimization algorithms implemented in real-time with two types of fast tuners. The optimization algorithms can tune the fundamental tuning elements of the tuner to quickly find an efficient operating point for the power amplifier while staying within spectral constraints. Secondly, this thesis presents a new method to model wideband low-noise amplifiers for use in receiver circuits using the Volterra Series. Both of these contributions are expected to enhance design and implementation of future radar systems.

Degree

thesis:*
Name thesis:degree_name
M.S.E.C.E.
Level thesis:degree_level
Masters
Grantor
Baylor University.
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hays, Zachary Samuel, 1994-
Advisor dc:contributor.advisor
  • Baylis, Charles Passant, 1979-

Subjects

dc:subject × 3

Rights

dc:rights
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

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/2104/10348
OAI identifier oai:identifier
oai:baylor-ir.tdl.org:2104/10348

Chain of custody

source
Harvested from
Baylor University
Base URL
baylor-ir.tdl.org/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hays, Zachary Samuel, 1994-. Circuit modeling and optimization techniques for next-generation radar.. Masters thesis, Baylor University., 2018. https://hdl.handle.net/2104/10348