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