Neural network modelling of GaAs pHEMTs suitable for millimeter-wave mixer design

@article{Marinkovic2015NeuralNM,
  title={Neural network modelling of GaAs pHEMTs suitable for millimeter-wave mixer design},
  author={Zlatica Marinkovic and Giovanni Crupi and Gustavo Avolio and Vera Markovic and Alina Caddemi and Dominique M. M.-P. Schreurs},
  journal={2015 Integrated Nonlinear Microwave and Millimetre-wave Circuits Workshop (INMMiC)},
  year={2015},
  pages={1-3}
}
In this paper we present an approach for nonlinear modeling of GAs pHEMTs suitable for mixer design. We use artificial neural networks to model the DC drain current as well as the intrinsic capacitive core versus the intrinsic gate and drain voltages. The model is extracted from the measured DC current and S-parameters. The approach is validated by the… CONTINUE READING