DocumentCode :
1787730
Title :
Large-signal MOSFET modeling using frequency-domain nonlinear system identification
Author :
Moning Zhang ; Yang Tang ; Zuochang Ye
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
2-6 Nov. 2014
Firstpage :
626
Lastpage :
632
Abstract :
Traditional BSIM MOSFET model extraction considers I-V/C-V curve fitting to capture DC non-linearity and S-parameter fitting to capture high-frequency small-signal behavior. This leads to poor accuracy when modeling MOSFETs in large-signal RF circuits such as power amplifiers, which require to model high-frequency large-signal behavior of MOSFETs. In this paper, we proposed an automatic method for automatically modeling high-frequency large-signal behavior for MOSFETs. The input is a pre-characterized MOSFET model and large-signal measurement data. The output is an enhanced model that model not only DC and S-parameter characteristics but also large-signal behavior. Experiments show that the proposed method can accurately capture both the nonlinear and dynamic behavior of RF MOSFET.
Keywords :
MOSFET; S-parameters; frequency-domain analysis; DC characteristics; RF circuits; S-parameter characteristics; dynamic behavior; frequency-domain nonlinear system identification; high-frequency large-signal behavior; large-signal measurement data; nonlinear behavior; power amplifiers; precharacterized MOSFET model; Data models; Integrated circuit modeling; MOSFET; Nonlinear dynamical systems; Radio frequency; Semiconductor device modeling; Testing; harmonic power spectrum; large-signal MOSFET model; non-linear dynamic model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design (ICCAD), 2014 IEEE/ACM International Conference on
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/ICCAD.2014.7001418
Filename :
7001418
Link To Document :
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