DocumentCode :
34771
Title :
Reduced-Complexity Polynomial Based Nonlinear Behavioral Modeling
Author :
Jialin Cai ; Brazil, Thomas J.
Author_Institution :
Univ. Coll. Dublin, Dublin, Ireland
Volume :
24
Issue :
7
fYear :
2014
fDate :
Jul-14
Firstpage :
496
Lastpage :
498
Abstract :
A new, nonlinear, frequency-domain behavioral model, based on a reduced two-dimensional polynomial equation, is presented in this letter. The Reduced Polynomial (RP) model is similar in concept to the Poly-Harmonic Distortion (PHD) method but has advantages in terms of needing a smaller number of model parameters for comparable accuracy. The basic theory of the proposed RP model and the model extraction methodology are provided. In addition to the first-order RP model, a quadratic RP (QRP) model is also presented. Based on simulation studies and experimentally measured results, the new model shows high accuracy and good stability.
Keywords :
polynomials; signal processing; frequency domain behavioral model; polyharmonic distortion method; polyharmonic distortion modeling; polynomial based nonlinear behavioral model; quadratic reduced polynomial model; reduced complexity nonlinear behavioral model; two dimensional polynomial equation; Accuracy; Harmonic analysis; Integrated circuit modeling; Load modeling; Mathematical model; Polynomials; Predictive models; ${rm X}$-parameter model; Nonlinear behavioral model; PHD model; reduced polynomial;
fLanguage :
English
Journal_Title :
Microwave and Wireless Components Letters, IEEE
Publisher :
ieee
ISSN :
1531-1309
Type :
jour
DOI :
10.1109/LMWC.2014.2316252
Filename :
6824845
Link To Document :
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