Automatic mixed-signal behavioral model generation environment

Building the behavioral model for each circuit is an efficient approach for mixed-signal system verification. If an automatic model generator is available to generate the required behavioral model from the given circuit specifications or netlist, it is useful for designers to reduce the extra efforts. In this paper, two automation methodologies are proposed to build the behavioral models for speeding up mixed-signal system verification. For some popular circuit blocks, dedicated behavioral model generators are developed to obtain the corresponding models directly from the given specifications. For generic circuit blocks, a divide and conquer approach is proposed to extract the required behavioral models from the given circuit netlist. Instead of modeling the relationship between circuit inputs and outputs directly, dividing the circuit into several small building blocks can greatly reduce the model construction efforts without losing the generality for different circuits. As shown in the experimental results, the proposed model generation environment does generate the corresponding behavioral models automatically with good accuracy.