Neural network approach for the characterisation of the active microwave devices (Q1275807)

Summary: Small-signal and noise behaviour of an active microwave device is modeled through the neural network approach for multiple bias/configurations. 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 techniques, the proposed approach has the capability to make high-dimensional models for highly nonlinear devices.