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Pseudo‐Zernike polynomials for numerically stable PA modeling using 3G+ signals
Author(s) -
Rawat Piyush,
Rawat Meenakshi,
Boulejfene N.
Publication year - 2014
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.28642
Subject(s) - predistortion , orthogonality , zernike polynomials , baseband , orthogonal polynomials , mathematics , polynomial , polynomial and rational function modeling , function (biology) , basis function , amplifier , stability (learning theory) , algorithm , gaussian , probability density function , mathematical analysis , computer science , physics , telecommunications , optics , geometry , statistics , bandwidth (computing) , wavefront , evolutionary biology , machine learning , biology , quantum mechanics
This article presents pseudo‐Zernike polynomials for numerically stable modeling and predistortion of high power amplifiers that, along with lesser coefficient dispersion, is capable of better model stability. Due to inherent properties of proposed basis function, orthogonality property of proposed basis function is independent of any phase rotation, which finds its use in baseband polynomial modeling. Moreover, in contrast to previously proposed orthogonal polynomial models, theoretically, presented model is independent from assumptions of Gaussian or uniform probability density function of the input signal unlike previous models. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2569–2572, 2014