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

dc.contributor.advisor Kenney, J. Stevenson
dc.contributor.author Masood, Mir
dc.contributor.committeeMember Anderson, David V.
dc.contributor.committeeMember Ansari, Azadeh
dc.contributor.committeeMember Yoder, Paul D.
dc.contributor.committeeMember Khalid, Adeel
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2019-05-29T13:57:12Z
dc.date.available 2019-05-29T13:57:12Z
dc.date.created 2018-05
dc.date.issued 2018-01-12
dc.date.submitted May 2018
dc.date.updated 2019-05-29T13:57:12Z
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.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61115
dc.publisher Georgia Institute of Technology
dc.subject Pre-distortion
dc.subject Power amplifier
dc.subject Doherty
dc.title Digitally-assisted, efficiency enhanced, linear RF power amplifier architectures
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Kenney, J. Stevenson
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication e0074b91-92d4-43f9-aedd-88ca7c59971d
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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