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Adaptive predistortion using threshold decomposition‐based piecewise linear modeling
Author(s) -
Gharaibeh Khaled M.,
AlZoubi Omar,
Alzayed Ayman
Publication year - 2011
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20498
Subject(s) - predistortion , baseband , lookup table , amplifier , nonlinear distortion , nonlinear system , computer science , algorithm , piecewise , piecewise linear function , power (physics) , distortion (music) , polynomial , control theory (sociology) , electronic engineering , mathematics , bandwidth (computing) , telecommunications , artificial intelligence , engineering , physics , mathematical analysis , geometry , control (management) , quantum mechanics , programming language
A new adaptive predistortion approach for nonlinear power amplifiers based on the piecewise linear (PWL) approximation of nonlinear functions is presented. The PWL model is obtained using threshold decomposition (TD) of the input‐output characteristics. The TD based PWL model is used to develop a baseband predistorter using both the direct and the indirect learning architectures. The proposed predistorter is proved to provide a better performance in suppressing nonlinear distortion than conventional polynomial predistorters and a reduced hardware complexity as compared to lookup table (LUT) approach. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011.