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Journal ArticleDOI

Statistical Compact Model Parameter Extraction by Direct Fitting to Variations

K. Takeuchi, +1 more
- 20 May 2008 - 
- Vol. 55, Iss: 6, pp 1487-1493
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TLDR
In this article, a statistical compact model parameter extraction method is proposed and described in detail, where the target of fitting is not the individual transistor, but statistically analyzed results (more specifically, principal components) of measured data.
Abstract
In this paper, a new method of statistical compact model parameter extraction is proposed and described in detail. The method is characterized in that the target of fitting is not the individual transistor, but statistically analyzed results (more specifically, principal components) of measured data. Variations of transistor characteristics can be translated into equivalent variations of compact model parameters by only one fitting step without repeating the parameter extraction procedure multiple times. Since the fitting is based on the response of a compact model to parameters, detailed information of the model is not necessary. The method has been applied to modeling the variations of metal-oxide-semiconductor field-effect transistor current versus voltage characteristics, and its validity has been confirmed.

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Citations
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References
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Journal ArticleDOI

Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here

TL;DR: A new global optimization algorithm for functions of continuous variables is presented, derived from the “Simulated Annealing” algorithm recently introduced in combinatorial optimization, which is quite costly in terms of function evaluations, but its cost can be predicted in advance, depending only slightly on the starting point.
Journal ArticleDOI

Statistical modeling of device mismatch for analog MOS integrated circuits

TL;DR: A generalized parameter-level statistical model, called statistical MOS (SMOS), capable of generating statistically significant model decks from intra- and inter-die parameter statistics is described, and Calculated model decks preserve the inherent correlations between model parameters while accounting for the dependence of parameter variance on device separation distance and device area.
Journal ArticleDOI

An easy-to-use mismatch model for the MOS transistor

TL;DR: In this article, a physics-based mismatch model is presented on a 0.18/spl mu/m technology and the accuracy of the model is examined and found to be within 20% in the strong inversion region.
Proceedings ArticleDOI

E-T based statistical modeling and compact statistical circuit simulation methodologies

TL;DR: A new statistical parameter extraction methodology which translates actual process variations into SPICE model parameter variations is presented and excellent, overall I-V curve fit for multiple device geometries is achieved.
Proceedings ArticleDOI

Efficient statistical BJT modeling, why /spl beta/ is more than I/sub c//I/sub b/

TL;DR: A new, efficient, accurate method for statistical BJT modeling, using backward propagation of variance (BPV), which takes only minutes to run on an engineering workstation.
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Why h parameter model is preferred over other models in transistor amplifiers?

Variations of transistor characteristics can be translated into equivalent variations of compact model parameters by only one fitting step without repeating the parameter extraction procedure multiple times.