Testing of analog systems using behavioral models and optimal experimental design techniques

  • Authors:
  • Eric Felt;Alberto Sangiovanni-Vincentelli

  • Affiliations:
  • Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA

  • Venue:
  • ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 1994

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Abstract

This paper describes a new CAD algorithm which performs automatic test pattern generation (ATPG) for a general class of analog systems, namely those circuits which can be efficiently modeled as an additive combination of user-defined basis functions. The algorithm is based on the statistical technique of I-optimal experimental design, in which test vectors are chosen to be maximally independent so that circuit performance will be characterized as accurately as possible in the presence of measurement noise and model inaccuracies. This technique allows analog systems to be characterized more accurately and more efficiently, thereby significantly reducing system test time and hence total manufacturing cost.