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  5. A Modified Decomposed Vector Rotation-Based Behavioral Model With Efficient Hardware Implementation for Digital Predistortion of RF Power Amplifiers
 
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A Modified Decomposed Vector Rotation-Based Behavioral Model With Efficient Hardware Implementation for Digital Predistortion of RF Power Amplifiers

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Download Modified_DVR.pdf1.49 MB
Author(s)
Cao, Wenhui 
Zhu, Anding 
Uri
http://hdl.handle.net/10197/8380
Date Issued
23 January 2017
Date Available
28T13:35:58Z February 2017
Abstract
This paper proposes a novel hardware implementation strategy to achieve low-cost design for digital predistortion (DPD) of radio frequency (RF) power amplifiers (PAs) using a modified decomposed vector rotation (DVR)-based behavioral model. To make the model hardware friendly, we first modify the model into a sub-decomposed format which significantly reduces the computational complexity in model extraction. We then reassemble the coefficients and propose a simple digital implementation structure for real-time signal processing in the transmit path. A new Dual-Direction COordinate Rotation DIgital Computer (DD-CORDIC) design is also proposed to simultaneously calculate both magnitude and ejθn values to facilitate the model implementation. To validate hardware implementation, a wide-band signal is employed to evaluate the performance with a Doherty power amplifier. Experimental results show that the proposed approach can achieve comparable performance with much lower system complexity compared to that using the conventional approaches.
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Microwave Theory and Techniques
Volume
PP
Issue
99
Start Page
1
End Page
10
Copyright (Published Version)
2017 IEEE
Keywords
  • Behavioral model

  • CORDIC

  • Digital predistortion...

  • Model extraction

  • Power amplifier

  • Radio frequency

DOI
10.1109/TMTT.2016.2640318
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/
Owning collection
Electrical and Electronic Engineering Research Collection
Scopus© citations
19
Acquisition Date
Feb 6, 2023
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