2006
DOI: 10.1002/mop.21596
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Modeling the I‐V characteristics of the power microwave FETs with the Angelov model using pulse measurements

Abstract: In this paper, a simple and effective method of extracting the values of the parameters of the Angelov nonlinear I(V) model of GaAs HJ‐FETs is presented. In the proposed method, the coefficients of the function ψ are determined from I(V) pulse measurements, using the least‐squares optimization method. The utility of the proposed method is demonstrated by modeling the I(V) characteristic of the different families of packaged medium‐power GaAs HJ‐FETs designed for mobile communications. © 2006 Wiley Periodicals,… Show more

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Cited by 14 publications
(5 citation statements)
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“…The drain current equation for these models is typically based on the Curtice formulation, which has the form [6,14] I ds ðV gs ; V ds Þ ¼ fðV gs Þ Â gðV ds Þ Â tanhðV ds Þ; ð1Þ…”
Section: Comparison Of Models For Iii-v Fetsmentioning
confidence: 99%
“…The drain current equation for these models is typically based on the Curtice formulation, which has the form [6,14] I ds ðV gs ; V ds Þ ¼ fðV gs Þ Â gðV ds Þ Â tanhðV ds Þ; ð1Þ…”
Section: Comparison Of Models For Iii-v Fetsmentioning
confidence: 99%
“…While the initial values for coefficients P n , are computed according to the procedure reported in Ref. . a i , b i and c i are extracted at a fixed V GS using the curve fitting toolbox (cftool) from MATLAB; in our experience we found that with j = 8 it is enough to model the I‐V characteristics from the linear to the breakdown region.…”
Section: Proposed Nonlinear Modelmentioning
confidence: 99%
“…The Angelov model has also developed for comparison, which is conducted using the Keysight Advanced Design System simulator. The initial values of parameters in Angelov model are selected according to , and more information on parameter extraction may be found in .…”
Section: Model Verificationmentioning
confidence: 99%
“…According to the flowchart in Figure 2, the training and test processes are completed by using software NEUROMODELER [22]. The Angelov model has also developed for [23,24], and more information on parameter extraction may be found in [25].…”
Section: Model Verificationmentioning
confidence: 99%