Power Adaptive Decomposed Vector Rotation Based Digital Predistortion for RF Power Amplifiers in Dynamic Power Transmission

Files in This Item:
File Description SizeFormat 
PAWR2017_YanGuo_Final_Draft.pdf222.76 kBAdobe PDFDownload
Title: Power Adaptive Decomposed Vector Rotation Based Digital Predistortion for RF Power Amplifiers in Dynamic Power Transmission
Authors: Guo, Yan
Zhu, Anding
Permanent link: http://hdl.handle.net/10197/8513
Date: 18-Jan-2017
Abstract: In this paper, a power adaptive digital predistortion (DPD) model is proposed to linearize RF power amplifiers (PAs) operated in dynamic power transmissions. By employing the decomposed vector rotation (DVR) based nonlinear weighting technique to adjust the DPD coefficients dynamically, the distortion induced by the dynamic power operation can be effectively compensated. Experimental test results with a high power Gallium Nitride (GaN) Doherty PA confirm that higher linearization performance can be achieved by employing this model, compared to that using the existing approaches.
Funding Details: European Commission - European Regional Development Fund
Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2017 IEEE
Keywords: Dynamic power transmissionDigital predistortionDecomposed vector rotation modelRF power amplifiers
DOI: 10.1109/PAWR.2017.7875559
Language: en
Status of Item: Peer reviewed
Conference Details: 2017 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR), Phoenix, Arizonia, USA, 15-18 January 2017
Appears in Collections:Electrical and Electronic Engineering Research Collection

Show full item record

SCOPUSTM   
Citations 50

1
Last Week
0
Last month
checked on Oct 19, 2018

Download(s) 50

36
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.