Simulation-Based Multi-Signal Modeling with Adaptive Threshold Estimation

An improved simulation modeling approach of multi-signal model for analogue circuit is proposed. The Monte-carlo method is used in circuit simulation to acquire statistical data of circuit features. An empirical formula is adopted to determine the times of Monte-Carlo simulation for reducing the simulation' s time-cost. Then, the statistical distributions of circuit features are decided by hypothesis testing using these statistical data. After that, an adaptive method is used to define the estimated threshold for features, which would improve the model’s precision. At the end, the analysis of an example circuit is given to verify the effectiveness of this modeling method. The simulation' s time cost and model' s precision of different methods are compared in order to manifest the advantage of the new method.