DocumentCode
1086698
Title
General optimization and extraction of IC device model parameters
Author
Doganis, Kyriakos ; Scharfetter, D.L.
Author_Institution
Stanford University, Stanford, CA
Volume
30
Issue
9
fYear
1983
fDate
9/1/1983 12:00:00 AM
Firstpage
1219
Lastpage
1228
Abstract
VLSI circuit simulation necessitates specification of model parameters. For the device equations to predict the measured
characteristics, the extraction of these parameters is required, and conventionally, measurements are performed sequentially to determine one or a few parameter values. These procedures are specialized to a particular model, and neglect the parameter interaction, as well as they are performed on a device-by-device basis. In this paper, a complete set of parameters for any arbitrary model is estimated by a modified Levenberg-Marquardt method operating in linear constrained space, and the result is a nonlinear least-squares fit of the data to a set of width/length-measured device characteristics. This model-independent extraction approach is enhanced by a sensitivity analysis to check for redundant parameters and is implemented in the SUXES computer program. It has proved to be an effective tool for device characterization and for the development and evaluation of new models.
characteristics, the extraction of these parameters is required, and conventionally, measurements are performed sequentially to determine one or a few parameter values. These procedures are specialized to a particular model, and neglect the parameter interaction, as well as they are performed on a device-by-device basis. In this paper, a complete set of parameters for any arbitrary model is estimated by a modified Levenberg-Marquardt method operating in linear constrained space, and the result is a nonlinear least-squares fit of the data to a set of width/length-measured device characteristics. This model-independent extraction approach is enhanced by a sensitivity analysis to check for redundant parameters and is implemented in the SUXES computer program. It has proved to be an effective tool for device characterization and for the development and evaluation of new models.Keywords
Circuit simulation; Constraint optimization; Data mining; Equations; Integrated circuit measurements; Integrated circuit modeling; Laboratories; Optimization methods; Performance evaluation; Sensitivity analysis;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/T-ED.1983.21278
Filename
1483179
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