Title:
Adaptive Power Amplifier Linearization by Digital Pre-Distortion with Narrowband Feedback using Genetic Algorithms

Simple item page
dc.contributor.advisor Kenney, J. Stevenson
dc.contributor.advisor Zhou, G. Tong
dc.contributor.author Sperlich, Roland en_US
dc.contributor.committeeMember Fenney, Robert K.
dc.contributor.committeeMember Leach, William M.
dc.contributor.committeeMember Sills, James A.
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2006-09-01T19:48:06Z
dc.date.available 2006-09-01T19:48:06Z
dc.date.issued 2005-07-19 en_US
dc.description.abstract This dissertation presents a study of linearization techniques that have been applied to power amplifiers in the cellular communication industry. The objective of this work is to understand the limitations of power amplifiers, specifically the limitations introduced by the use of spectrally efficient modulation schemes. The digitization of communication systems has favored the use of new techniques and technologies capable of increasing the efficiency of costly power amplifiers. The work explores traditional and digital linearization systems; an algorithm based on the principles of natural recombination is proposed to directly address the limitations of previous embodiments. Previous techniques, although effective, have significant implementation costs that increase exponentially with the increasing signal bandwidths. The proposed software-hardware architecture significantly reduces implementation costs and the overall complexity of the design without sacrificing performance. To fulfill the requirements of this study, multiple systems are implemented through simulation and closed-loop hardware. Both simulation and hardware embodiments meet the expected performance metrics, providing validation of the proposed algorithm. The application of the algorithm to memory power amplifier linearization is a new approach to adaptive digital pre-distortion using narrowband feedback. The work will show performance improvements on an amplifier with memory effects suggesting that this technique can be employed as a lower-cost solution to meet requirements when compared to typical system implementations. en_US
dc.description.degree Ph.D. en_US
dc.format.extent 2223958 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/11652
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Narrowband en_US
dc.subject Predistortion
dc.subject Linearization
dc.subject Genetic algorithms
dc.subject.lcsh Power amplifiers en_US
dc.subject.lcsh Genetic algorithms en_US
dc.subject.lcsh Digital modulation en_US
dc.subject.lcsh Cellular telephone systems Design and construction en_US
dc.title Adaptive Power Amplifier Linearization by Digital Pre-Distortion with Narrowband Feedback using Genetic Algorithms en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Zhou, G. Tong
local.contributor.advisor Kenney, J. Stevenson
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication c02ccf1b-685f-47ca-a5ee-5996d39ede3d
relation.isAdvisorOfPublication e0074b91-92d4-43f9-aedd-88ca7c59971d
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
sperlich_roland_200508_phd.pdf
Size:
2.12 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Theses and Dissertations