Statistical Compact Model Extraction for Skewed Gaussian Variations
A technique for extracting Statistical Compact Model (SCM) parameters for skewed Gaussian parameters is proposed. Existing techniques handle non-Gaussian variations through non-linearity in model equations. However, hardware data on certain technologies suggest that non-Gaussian variations are observed even on linear parameters like Idlin/Idsat. We propose to model such variations through skewed Gaussian random variables. Analytical expressions for the statistics of the skewed Gaussian process and performance parameters are derived. SCM parameters are extracted by setting up a skewed back propagation of variance (SBPV) algorithm.
KeywordsStatistical Skew Gaussian Model
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