• DocumentCode
    171012
  • Title

    Dynamic FET model - DynaFET - for GaN transistors from NVNA active source injection measurements

  • Author

    Jianjun Xu ; Jones, Roy ; Harris, Scott A. ; Nielsen, T. ; Root, David E.

  • Author_Institution
    Agilent Technol., Inc., Santa Rosa, CA, USA
  • fYear
    2014
  • fDate
    1-6 June 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    A complete nonlinear characterization and modeling flow for modern GaN transistors is presented. Features include a new active-source injection based waveform measurement HW/SW system built around an NVNA, an extended artificial neural network (ANN) training infrastructure for coupled electro-thermal and trap-dependent model constitutive relations, and the native implementation in a commercial simulator. The model is validated by detailed comparisons to measured data for an advanced mm-wave 150 nm 6×60μm GaN HFET manufactured by Raytheon Integrated Defense Systems. Excellent results are achieved for DC, S-parameters, harmonic and intermodulation distortion, and load-pull figures of merit, over a very wide range of bias conditions, complex loads, powers, and frequencies.
  • Keywords
    III-V semiconductors; gallium compounds; microwave field effect transistors; network analysers; neural nets; semiconductor device models; ANN training infrastructure; DynaFET; GaN; GaN HFET; NVNA; Raytheon Integrated Defense Systems; S-parameters; active-source injection based waveform measurement HW-SW system; commercial simulator; coupled electrothermal model constitutive relations; dynamic FET model; extended artificial neural network training infrastructure; harmonic distortion; intermodulation distortion; load-pull figures of merit; modern GaN transistors; nonlinear characterization; size 150 nm; trap-dependent model constitutive relations; Current measurement; Distortion measurement; Fluid flow measurement; Frequency measurement; Gallium nitride; HEMTs; MODFETs; GaN HEMTs; Nonlinear Vector Network Analyzer; Semiconductor device modeling; compact models; microwave FETs; neural networks; power transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Symposium (IMS), 2014 IEEE MTT-S International
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/MWSYM.2014.6848293
  • Filename
    6848293