Fast and accurate DPPM computation using model based filtering

Ender Yilmaz, Sule Ozev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Defective Parts Per Million (DPPM) is an important quality metric that indicates the ratio of defective devices shipped to the customers. It is necessary to estimate and minimize DPPM in order to meet the desired level of quality. However, DPPM estimation requires statistical simulations, which are computationally costly if traditional methods are used. In this work, we propose an efficient DPPM estimation method for analog circuits that greatly reduces the computational burden. We employ a model based approach to selectively simulate only consequential samples in DPPM estimation. We include methods to mitigate the effect of model imperfection and robust model fitting to guarantee a consistent and efficient estimation. Experimental results show that the proposed method achieves 10x to 25x reduction in the number of simulations for an RF receiver front-end circuit.

Original languageEnglish (US)
Title of host publicationProceedings - 16th IEEE European Test Symposium, ETS 2011
Pages165-170
Number of pages6
DOIs
StatePublished - Aug 29 2011
Event16th IEEE European Test Symposium, ETS 2011 - Trondheim, Norway
Duration: May 23 2011May 27 2011

Publication series

NameProceedings - 16th IEEE European Test Symposium, ETS 2011

Other

Other16th IEEE European Test Symposium, ETS 2011
Country/TerritoryNorway
CityTrondheim
Period5/23/115/27/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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