Towards automated extraction of EMC-aware trajectory-based macromodels for analog circuits

In this paper a new methodology is proposed for automated generation of EMC-aware behavioral models. Tightening EMC regulations require elaborate testing and simulation of EMC susceptibility of analog circuits during the design stage. A classification strategy detects EMC-sensitive devices which allows us to incorporate a more elaborate device model when accuracy is needed due to rectification effects. In addition, trajectory-based models are used for efficient modeling of nonlinear dynamical systems. Trajectory methods sample the state space trajectory of a circuit while exciting the circuit with a representative training input. The macromodel is generated by reduction and interpolation of linearizations among the sampled trajectory points, in which the validity of the model is defined. Without relevant loss of accuracy, the simulation time of larger systems for EMC can be reduced with an order of magnitude. The method is verified on a single-stage opamp with rectifying bias current mirror, a circuit exhibiting EMC distortion.