Title

Worst-case analysis and statistical simulation of MOSFET devices based on parametric test data

Authors

Authors

Q. Zhang; J. J. Liou; J. McMacken; J. R. Thomson; K. Stiles;P. Layman

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Solid-State Electron.

Keywords

worst-case analysis; statistical simulation; parametric test data; BSIM3v3 model; principal component analysis; Latin hypercube sampling; MOSFET devices; digital circuits; VLSI; METHODOLOGY; CIRCUITS; MODELS; Engineering, Electrical & Electronic; Physics, Applied; Physics, ; Condensed Matter

Abstract

A practical and efficient approach for estimating the MOSFET device and circuit performance distributions is presented. The proposed method is based on the Latin hypercube sampling technique and direct extracting and utilizing the statistical information obtained from a population of parametric test data. Using this approach, a set of worst-case models taking into account data correlations and equal probability constraints is developed. The procedure allows for a systematical and accurate way to predict the performance spread and worst case of MOSFET circuits, as well as a greatly reduced computation time for statistical simulation. Measured data of two digital circuits are included in support of the modeling work. (C) 2001 Elsevier Science Ltd. All rights reserved.

Journal Title

Solid-State Electronics

Volume

45

Issue/Number

9

Publication Date

1-1-2001

Document Type

Article

Language

English

First Page

1537

Last Page

1547

WOS Identifier

WOS:000171362300004

ISSN

0038-1101

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