This paper describes a method of generating models for nonlinear devices and circuits, based upon measurements of traveling-wave voltages at a periodic large-signal excitation and its harmonics using a nonlinear vector network analyzer. Utilizing a second source, multiple measurements of a nonlinear circuit are used to train artificial neural network models that yield portable, nonlinear large-signal scattering parameter models. An independent check is achieved by comparing an example diode circuit model generated using this methodology with a harmonic balance simulation.
Conference Dates: November 29-30, 2001
Conference Location: San Diego, CA
Conference Title: 58th Auto. RF Tech. Group Conference
Pub Type: Conferences
artificial neural network, frequency-domain, large-signal, measurement, model, nonlinear