• DocumentCode
    2842444
  • Title

    Large-signal modeling of microwave GaAs MESFET´s, challenges and solutions

  • Author

    Wei, C.J. ; Tkachenko, Y. ; Bartle, D.

  • Author_Institution
    Alpha Ind. Inc., Woburn, MA, USA
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    75
  • Lastpage
    79
  • Abstract
    The current status in GaAs MESFET modeling is briefly reviewed in view of challenges to microwave power amplifier designers due to the complex nature of the device. A compact large-signal dispersive current and charge model for MESFETs along with an extraction tool is presented. The model is self-consistent by introducing a self-heating subcircuit, a high-pass feedback and appropriate charge-characteristics. Extraction of model parameters is performed by using an in-house model extraction software. The new model accurately predicts the DC I-Vs, RF GVs/CVs, bias-dependent S-parameters, power and linearity characteristics of the MESFET. Simulated results of a power amplifier for wireless communications are also presented
  • Keywords
    III-V semiconductors; S-parameters; feedback; gallium arsenide; microwave field effect transistors; microwave power transistors; power MESFET; semiconductor device models; GaAs; MESFET modeling; bias-dependent S-parameters; charge-characteristics; dispersive charge model; dispersive current model; extraction tool; high-pass feedback; large-signal modeling; linearity characteristics; microwave GaAs MESFET; model extraction software; power characteristics; self-heating subcircuit; Dispersion; Feedback; Gallium arsenide; MESFETs; Microwave amplifiers; Microwave devices; Power amplifiers; Predictive models; Radio frequency; Software performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Millimeter Wave Technology Proceedings, 1998. ICMMT '98. 1998 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4308-5
  • Type

    conf

  • DOI
    10.1109/ICMMT.1998.768228
  • Filename
    768228