Non-Gaussian uncertainty propagation in statistical circuit simulation

The combination of random and systematic variability in state of the art IC technologies often results in non-Gaussian distributions of key performance parameters. A Mixture of Gaussian (MOG) variance propagation scheme is proposed to estimate the transistor-level circuit performance distribution without costly Monte-Carlo simulations. In the proposed method, interval representations and moment matching algorithms are used to find the MOG of the circuit performance.