DocumentCode
1711639
Title
Digital predistortion based on Zernike polynomial functions for RF nonlinear power amplifiers
Author
Aladrén, Leticia ; Garcia, Paloma ; Carro, Pedro Luis ; De Mingo, Jesús ; Sanchez-Perez, Cesar
Author_Institution
Dept. of Electron. Eng. & Commun., Univ. of Zaragoza, Zaragoza, Spain
fYear
2012
Firstpage
865
Lastpage
869
Abstract
Predistortion linearizer for high nonlinear power amplifiers (PAs) is an important topic of research in wireless applications. Behavioral models based on polynomial functions are widely used for both PAs and predistorters. However, they often suffer from numerical instability problems when we include high nonlinear-order in the mathematical model. In this work, we propose a new predistorter model considering the use of an orthogonal basis. This basis is composed of Zernike polynomials, which are very robust and stable when they are applied to classical identification techniques. Computer simulations in a typical DVB-T OFDM transmission confirm the predistorter computed with the Zernike polynomial model provides improvements in adjacent channel power ratio with stability and moderate complexity in the DPD coefficient estimation.
Keywords
numerical stability; polynomials; power amplifiers; radiofrequency amplifiers; DPD coefficient estimation; DVB-T OFDM transmission; RF nonlinear power amplifiers; Zernike polynomial functions; adjacent channel power ratio; behavioral models; classical identification techniques; computer simulations; digital predistortion model; high nonlinear-order; mathematical model; numerical instability problems; orthogonal basis; polynomial functions; predistortion linearizer; Computational modeling; Digital video broadcasting; Mathematical model; Numerical models; OFDM; Polynomials; Predistortion; Digital Predistortion; Linearization; OFDM; Power Amplifier; Zernike Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communication Systems (ISWCS), 2012 International Symposium on
Conference_Location
Paris
ISSN
2154-0217
Print_ISBN
978-1-4673-0761-1
Electronic_ISBN
2154-0217
Type
conf
DOI
10.1109/ISWCS.2012.6328491
Filename
6328491
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