The behavioral modeling of microwave/RF ICs using non-linear time series analysis
A new and powerful, systematic approach for creating nonlinear behavioral models of microwave/RF ICs is presented. The methodology incorporates several techniques from nonlinear dynamics, system identification, and computational geometry to produce models that are an effective compromise between complexity and accuracy, and efficiency and speed of simulation. The models are constructed from large-signal microwave measurements in the time domain, or from simulation, and are implemented in a commercial nonlinear microwave simulator. We illustrate the technique by creating a cascadable, transportable model of a microwave IC amplifier that predicts accurately the DC, large signal, harmonic distortion, inter-modulation, and small-signal S-parameter behavior.