Pattern Sensing Based Digital Predistortion of RF Power Amplifiers under Dynamical Signal Transmission

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Title: Pattern Sensing Based Digital Predistortion of RF Power Amplifiers under Dynamical Signal Transmission
Authors: Yin, HangYu, ChaoLu, QianyunZhu, Andinget al.
Permanent link: http://hdl.handle.net/10197/12072
Date: 16-Aug-2019
Online since: 2021-03-31T10:52:49Z
Abstract: In this paper, a pattern sensing based digital predistortion (DPD) technique for radio frequency (RF) power amplifiers (PAs) under dynamical signal transmission is proposed. Unlike conventional methods where real time re-calibration is required, this approach utilizes a low resolution amplitude-modulation to amplitude-modulation (AM/AM) pattern to sense PA characteristics and then quickly select proper DPD coefficients to linearize the PA. Experimental results show that the proposed method can provide an efficient a nd effective w ay to deal with complex dynamic signal transmission scenarios and maintain very good linearization performance, which is very suitable for future 5G applications.
Funding Details: Science Foundation Ireland
Funding Details: National Natural Science Foundation of China
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2019 IEEE
Keywords: SensorsPredistortionRadio frequency5G mobile communicationIndexesTable lookupReal-time systems
DOI: 10.1109/IMC-5G47857.2019.9160384
Other versions: http://imc-5g.mtt.org/
Language: en
Status of Item: Peer reviewed
Is part of: 2019 IEEE MTT-S International Microwave Conference on Hardware and Systems for 5G and Beyond (IMC-5G 2019)
Conference Details: The 2019 IEEE MTT-S International Microwave Conference on Hardware and Systems for 5G and Beyond (IMC-5G), Atlanta, Georgia, United States of America, 15-16 August 2019
ISBN: 9781728131436
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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