Date of Award
Fall 2002
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Electrical Engineering
Committee Director
Ravindra P. Joshi
Committee Member
Frederic D. McKenzie
Committee Member
Keith Williamson
Call Number for Print
Special Collections (LD4331.E55 C87 2002 )
Abstract
Metal Semiconductor Field Effect Transistors are at the heart of currently used microwave and millimeter-wave devices. CAD (Computer Aided Design) models for MESFET are used in the development and optimization of high-speed microwave devices. The increase in the chip density demands more accurate models. A distributed small signal model was developed for a GaAs MESFET account of the high frequency effects.
The lumped model of the MESFET is inadequate at frequencies where the wavelength of operation approaches device dimensions. This is because different regions in the device can experience different amplitudes and phases of the biasing signal. In this thesis, various modeling approaches from the existing literature were studied, and the sliced-FET approach was selected as a trade-off between computational intensity and rigorous accuracy. The elements in the sliced model have been calculated for a 300- micrometer gate-width FET using modeling equations from literature. The sliced-FET model was implemented in PSPICE, and an optimal number of slices for the model have been proposed. The frequency response of the sliced model then more accurately resembles the actual response of an actual device. Scattering parameter measurements of the lumped and the distributed models validate the model developed. The scope of further research including thermal models, models at different bias conditions, HEMT simulation work, and the development of large signal models has also been discussed.
Rights
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DOI
10.25777/yx92-fd88
Recommended Citation
Cuddapah, Srinivas R..
"Evaluation of Distributed Effects in Field Effect Transistors for High Frequency Applications"
(2002). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/yx92-fd88
https://digitalcommons.odu.edu/ece_etds/322
Included in
Computer-Aided Engineering and Design Commons, Electronic Devices and Semiconductor Manufacturing Commons, Signal Processing Commons