The Unscented Transform as a Tool to Assess Circuit Variability for Emergent Technologies

The unscented transform (UT) is proposed as an alternative to the Monte Carlo (MC) method for assessing performance variability of electronic circuits based on emergent technologies. We show that the discrete UT approximation of a continuous probability distribution of random variables can be solved...

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Bibliographic Details
Main Authors: Pimenta, Reinaldo G., Medeiros, Jose E. G., Blawid, Stefan
Format: Conference Proceeding
Language:English
Subjects:
CNTFET
CNTFETs
Integrated circuit modeling
Mathematical model
Monte Carlo simulation
Process variability
Radio frequency
Transforms
Transistor matching
Unscented Transform
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Summary:The unscented transform (UT) is proposed as an alternative to the Monte Carlo (MC) method for assessing performance variability of electronic circuits based on emergent technologies. We show that the discrete UT approximation of a continuous probability distribution of random variables can be solved by Gaussian quadrature. As an application example, we compare UT and MC yield predictions for CNTFET current-mode-logic ring oscillators. We discuss the exponential nature of our first implementation and point to the use of sparse grids and symmetry analysis as means to optimize the technique.
ISSN:2158-1525
2158-1525
DOI:10.1109/ISCAS45731.2020.9181094