Fast Adaptive Digital Pre-Distortion Scheme for Application in Cellular Base Station Power Amplifiers

In a base station, the power amplifier (PA) experiences rapid fluctuations in behavior because of the varying power levels and bandwidth of its excitation signals. High peak-to-average power ratios and nonconstant envelopes of wideband signals impose stringent linear and efficiency requirements on the PA required for amplification.It is necessary to design fast and noncomplex digital pre-distorters that are able to achieve and maintain acceptable linearization performance and compensate for the dynamic distortions generated by the PA. This thesis explores an adaptive DPD scheme using multiple models that combines a switching and a simple adaptation algorithm.Experimental data are used in evaluating the proposed scheme. The multiple model scheme reduces the transient error response and requires a relatively small number of data samples for identification, switching and adaptation. The scheme is demonstrated to be fast, less complex, and capable of maintaining and achieving the linearity requirement of the PA.

Name thesis:degree_name

Master of Applied Science (M.App.Sc.)

Level thesis:degree_level

Master's

Discipline thesis:degree_discipline

Engineering, Electrical and Computer

Grantor dc:publisher

Carleton University

Year dc:date.issued

2015

Author dc:creator

• Adaramola, Francisca Funmilayo

Statement dc:rights

• Copyright © 2015 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2015-11033

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/32725