Comparison of HEMT non‐linear model extraction approaches based on small signal and on large signal measurements | Zendy

Carmen CurrásFrancos M. | Zendy

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Comparison of HEMT non‐linear model extraction approaches based on small signal and on large signal measurements

Author(s) -

Carmen CurrásFrancos M.

Publication year - 2003

Publication title -

international journal of numerical modelling: electronic networks, devices and fields

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.249

H-Index - 30

eISSN - 1099-1204

pISSN - 0894-3370

DOI - 10.1002/jnm.481

Subject(s) - high electron mobility transistor , signal (programming language) , computer science , linear model , extraction (chemistry) , electronic engineering , engineering , electrical engineering , machine learning , chemistry , chromatography , transistor , voltage , programming language

In this paper the extraction of a non‐linear model for a HEMT is undertaken by means of two different approaches. The first approach is the classical procedure that consists of using the small signal data to fully generate a non‐linear model. The second alternative is developed following a different tactics that uses directly the response of the device to a large signal stimulus. Both approaches are compared in terms of required extraction measurements and limits of application. Copyright © 2002 John Wiley & Sons, Ltd.

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