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  5. High-performance digital predistortion test platform development for wideband RF power amplifiers
 
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High-performance digital predistortion test platform development for wideband RF power amplifiers

Author(s)
Guan, Lei  
Kearney, Ray  
Yu, Chao  
Zhu, Anding  
Uri
http://hdl.handle.net/10197/8641
Date Issued
2013-04
Date Available
2017-07-10T15:29:30Z
Abstract
In this paper, a complete design procedure, together with robust system validation approaches, is presented for implementing a high-performance re-configurable digital predistortion (DPD) test platform for compensating for nonlinear distortion and memory effects induced by radio frequency (RF) power amplifiers (PAs) in the transmitters of modern wireless communication systems. This hardware and software co-operated test system not only enables effective validation for DPD algorithm development, but also provides a high-performance and reliable hardware-based linearization test platform. The experimental test was applied on a medium power Doherty amplifier, which was designed for 3 G/4 G wireless communication base stations. By applying our DPD algorithms on the proposed platform, more than 30 dB improvements in adjacent channel power ratio can be achieved for Universal Mobile Telecommunications System and long-term evolution signal excitations.
Type of Material
Journal Article
Publisher
Cambridge University Press
Journal
International Journal of Microwave and Wireless Technologies
Volume
5
Issue
2
Start Page
149
End Page
162
Copyright (Published Version)
2013 Cambridge University Press and the European Microwave Association
Subjects

Power amplifiers and ...

Wireless systems and ...

DOI
10.1017/S1759078713000184
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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IJMWT_Guan_Final.pdf

Size

323.44 KB

Format

Adobe PDF

Checksum (MD5)

0a07448ab782ea735f0df8d5154ba959

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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