• DocumentCode
    3636616
  • Title

    Nonlinear characterization techniques for improving accuracy of GaN HEMT model predictions in RF power amplifiers

  • Author

    Reinel Marante;José A. García;Lorena Cabria;Theophile Aballo;Pedro M. Cabral;José C. Pedro

  • Author_Institution
    Dpto. Ingenierí
  • fYear
    2010
  • Firstpage
    1680
  • Lastpage
    1683
  • Abstract
    In this paper, two vector nonlinear characterization procedures are presented, aimed at improving available GaN HEMT models for an accurate reproduction of the device behavior operating as a current source and in switched-mode RF power amplifiers (PAs). In the case of the more traditional linear amplifying classes, a technique for simultaneously extracting the higher order derivatives of the Ids(Vgs), Igs(Vgs) and Cgs(Vgs) transistor nonlinearities, along a desired load line, is described. This procedure conveniently isolates and models their contributions to the device intermodulation distortion (IMD) behavior. In the case of highly efficient switched-mode PAs, employed under drain modulation condition, a modified procedure for isodynamically measuring the higher order derivatives of the Vdd-to-AM and Vdd-to-PM amplifier profiles is put into consideration, as a way to refine the triode region reproduction for ON-OFF operation. The test set-ups, based on the combination of vector signal analysis and vector signal generation capabilities, are described in detail, together with some analytic expressions for the parameter extraction. Measured results for a 15 W device from Cree are finally included.
  • Keywords
    "Gallium nitride","HEMTs","Predictive models","Radio frequency","Power amplifiers","Radiofrequency amplifiers","Signal analysis","Vectors","Intermodulation distortion","Distortion measurement"
  • Publisher
    ieee
  • Conference_Titel
    Microwave Symposium Digest (MTT), 2010 IEEE MTT-S International
  • ISSN
    0149-645X
  • Print_ISBN
    978-1-4244-6056-4
  • Type

    conf

  • DOI
    10.1109/MWSYM.2010.5517652
  • Filename
    5517652