Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers
Files in This Item:
File | Size | Format | |
---|---|---|---|
Download | TMTT-2014-09-0998_Final.pdf | 705.67 kB | Adobe PDF |
Title: | Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers | Authors: | Zhu, Anding | Permanent link: | http://hdl.handle.net/10197/8424 | Date: | 14-Jan-2015 | Online since: | 2017-04-07T15:23:58Z | Abstract: | A new behavioral model for digital predistortion of radio frequency (RF) power amplifiers (PAs) is proposed in this paper. It is derived from a modified form of the canonical piecewise-linear (CPWL) functions using a decomposed vector rotation (DVR) technique. In this model, the nonlinear basis function is constructed from piecewise vector decomposition, which is completely different from that used in the conventional Volterra series. Theoretical analysis has shown that this model is much more flexible in modeling RF PAs with non-Volterra-like behavior, and experimental results confirmed that the new model can produce excellent performance with a relatively small number of coefficients when compared to conventional models. | Funding Details: | Science Foundation Ireland | Type of material: | Journal Article | Publisher: | IEEE | Journal: | IEEE Transactions on Microwave Theory and Techniques | Volume: | 63 | Issue: | 2 | Start page: | 737 | End page: | 744 | Copyright (published version): | 2015 IEEE | Keywords: | Behavioral modeling; Canonical piecewiselinear; Digital predistortion; Power amplifiers; Radio frequency; Volterra series; Wireless | DOI: | 10.1109/TMTT.2014.2387853 | Language: | en | 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/ |
Appears in Collections: | Electrical and Electronic Engineering Research Collection |
Show full item record
SCOPUSTM
Citations
5
67
Last Week
0
0
Last month
checked on Sep 11, 2020
Page view(s)
1,208
Last Week
5
5
Last month
14
14
checked on Jun 26, 2022
Download(s) 50
389
checked on Jun 26, 2022
Google ScholarTM
Check
Altmetric
If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.