Deterministic and Stochastic Behavioral Modeling of RF Front Ends

Behavioral models developed using discrete-tone characterization can be used to capture the response of an RF front end to stochastic signals. It is important that the model architecture capture all nonlinear effects and that the proper translation of the derived envelope model be transformed into an instantaneous model. Here the requirements for the transformation are presented, a multi-slice model architecture that can capture complex behavior from narrow-band measurements is presented together with an extraction procedure