2015
DOI: 10.1109/lmwc.2015.2496794
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A Non-Quasi-Static FET Model Extraction Procedure Using the Dynamic-Bias Technique

Abstract: We extend the recently proposed dynamic-bias measurement technique to the identification of non-quasi-static FET models. In particular, we propose to exploit two high-frequency tickles superimposed on the low-frequency large-signal excitation. The tickle frequencies are chosen in order to separately extract the quasi-static and non-quasi-static model parameters. As case study, we extracted and validated the model of an GaAs pHEMT

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Cited by 9 publications
(7 citation statements)
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“…Clearly, if non‐quasi‐static effects are present, they must be correctly accounted for (e.g., Refs. ).…”
Section: Measurement‐based Waveform Engineeringmentioning
confidence: 97%
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“…Clearly, if non‐quasi‐static effects are present, they must be correctly accounted for (e.g., Refs. ).…”
Section: Measurement‐based Waveform Engineeringmentioning
confidence: 97%
“…The currents obtained after this transformation can be simply expressed as the vector sum of the contributions coming from the resistive and the capacitive cores, which are in parallel (Figure ), as expressed by Equation . To identify the capacitive‐core contribution, a model‐based description of the nonlinear capacitances has to be exploited, which can be identified by adopting standard multi‐bias S‐parameter measurements or nonlinear measurements . When non‐quasi‐static effects can be neglected, the intrinsic capacitive currents can be directly calculated from Equation .…”
Section: Measurement‐based Waveform Engineeringmentioning
confidence: 99%
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“…In [19]- [21] we were driven by the need of extracting models for transistors by using experimental data that reproduced operating conditions as close as possible to those in real-life, but beyond the limitations of today's vector calibrated nonlinear measurement systems. We have shown that this approach can be used in various situations, including modeling of transistors for high-efficiency amplifier design [22] and modeling of transistors' non-quasi static effects [23], [24].…”
Section: Introductionmentioning
confidence: 99%