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Pattern Sensing Based Digital Predistortion of RF Power Amplifiers under Dynamical Signal Transmission
Author(s)
Date Issued
2019-08-16
Date Available
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.
Sponsorship
Science Foundation Ireland
Other Sponsorship
National Natural Science Foundation of China
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2019 IEEE
Web versions
Language
English
Status of Item
Peer reviewed
Journal
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
File(s)
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Name
09160384_prepublishing version.pdf
Size
1.35 MB
Format
Adobe PDF
Checksum (MD5)
10c62eed9d01c52568d6790e8cb4fa49
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