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Towards probabilistic analog behavioral modeling

 
: Lange, André; Harasymiv, Ihor; Eisenberger, Oliver; Roger, Frédéric; Haase, Joachim; Minixhofer, Rainer

:
Postprint urn:nbn:de:0011-n-3453228 (1.0 MByte PDF)
MD5 Fingerprint: aac49c0e48c748bacee7a1c3ccfbb02e
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Created on: 2.7.2015


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Circuits and Systems Society:
IEEE International Symposium on Circuits and Systems, ISCAS 2015. Proceedings. Vol.5 : 24-27 May 2015, Lisbon, Portugal
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-8392-6
ISBN: 978-1-4799-8391-9
ISBN: 978-1-4799-8390-2
pp.2728-2731
International Symposium on Circuits and Systems (ISCAS) <2015, Lisbon>
English
Conference Paper, Electronic Publication
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()

Abstract
Analog behavioral models are widely used to reducethe complexity in hierarchical analog circuit design and verification.In the presence of process variations and atomic-levelfluctuations, however, these models have to be extended to takevariability into account. In this paper, we present a probabilisticsolution that treats the behavioral model coefficients as multidimensionalrandom variables and supports non-Gaussian aswell as correlated parameters. A voltage divider and a bandgapvoltage reference demonstrate the capabilities of our modelingapproach in terms of accuracy and efficiency.

: http://publica.fraunhofer.de/documents/N-345322.html