DocumentCode
2752857
Title
Application of linearization modeling technology for nonlinear RF power devices
Author
Lin, Maoliu ; Hua, Xiaojie ; Sun, Hongjian ; Jiang, Jing
Author_Institution
Harbin Inst. of Technol., Harbin
fYear
2007
fDate
Oct. 30 2007-Nov. 2 2007
Firstpage
1
Lastpage
4
Abstract
Based on nonlinear large-signal scattering functions theory and harmonic superposition principle, we describe a novel method to linearize the scattering function in a form that is similar with classical scatter parameter when considering the influence of the conjugate term of incident signal. Moreover, in case of weakly nonlinear device, combining phase normalization and linearization technique, we analyze the expression of linearized scattering function in polar coordinates and predict the characters of the track of reflected waves. Further examination of these characters, we prove that they are derived from the emergence of conjugate term. To testify the linearization model, we apply this linearization model technique for modeling high electron mobility transistor (HEMT) on large signal network analyzer platform. Finally, after contrasting the linearization model with classical scatter parameter model for the measurements data, we conclude with the efficiency of the model for modeling RF devices.
Keywords
electromagnetic wave reflection; electromagnetic wave scattering; high electron mobility transistors; linearisation techniques; harmonic superposition principle; high electron mobility transistor; linearization modeling technology; linearized scattering function; nonlinear RF power devices; nonlinear large-signal scattering functions theory; phase normalization; Equations; Frequency estimation; HEMTs; Jacobian matrices; MODFETs; Radio frequency; Scattering parameters; Signal analysis; Sun; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location
Taipei
Print_ISBN
978-1-4244-1272-3
Electronic_ISBN
978-1-4244-1272-3
Type
conf
DOI
10.1109/TENCON.2007.4428933
Filename
4428933
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