Neural network approach for the characterization of the active microwave devices

Abstract

Small-signal and noise behaviour of an active microwave device is modeled through the neural network approach for multiple bias/eoafigurations.Here the device is modelled by a black box whose small signal and noise parameters are evaluated through a neural network, based upon the fitting of both of these parameters for the multiple bias or configuration.The concurrent modelling procedure does not require to solve device physics equations repeatedly during optimization .Compared to the existing device modelling techniqmes,the proposed approach has the capability to make high-dimensional models for highly nonlinear devices.