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Georgia Institute of Technology

Digitally-assisted, efficiency enhanced, linear RF power amplifier architectures

Abstract

dc:description.abstract

This dissertation presents the use of advanced digital techniques in the development of efficiency enhanced, linearized power amplifier (PA) architectures. In this research, digital enhancements are used to boost the efficiency of a dual-input LDMOS Doherty PA of 500W peak power. It is shown that the improved phase adjustment and the waveform conditioning for the Auxiliary PA, results in ~ 4% improvement in the efficiency of the Doherty PA. This efficiency improvement comes at the cost of degradation in linearity. A new segmented DPD architecture is proposed which subdivides the complete dynamic range of the Doherty PA into two power regions, a lower and a higher power region. As the nature of non-linearities exhibited by the Doherty PA are different in these distinct regions, the segmented DPD architecture is found suitable in this scenario. It is shown that by using the segmented DPD architecture, stringent linearity requirement of -55 dBc is adequately met.

Degree

thesis:*
Level thesis:degree_level
Doctoral
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Masood, Mir
Advisor dc:contributor.advisor
  • Kenney, J. Stevenson
Committee members dc:contributor.committeemember
  • Anderson, David V.
  • Ansari, Azadeh
  • Yoder, Paul D.
  • Khalid, Adeel

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/61115
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/61115

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Masood, Mir. Digitally-assisted, efficiency enhanced, linear RF power amplifier architectures. Doctoral thesis, Georgia Institute of Technology, 2018. http://hdl.handle.net/1853/61115