IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v28y2014i15p1888-1895.html
   My bibliography  Save this article

A scalable GaN HEMT large-signal model for high-efficiency RF power amplifier design

Author

Listed:
  • Yuehang Xu
  • Wenli Fu
  • Changsi Wang
  • Chunjiang Ren
  • Haiyan Lu
  • Weibin Zheng
  • Xuming Yu
  • Bo Yan
  • Ruimin Xu

Abstract

This paper presents a large-signal empirical model for GaN HEMT devices using an improved Angelov drain current formulation with self-heating effect and a modified non-linear capacitance model. The established model for small gate-width GaN HEMTs is validated by on-wafer load-pull measurements up to 14 GHz. Moreover, a scalable large-signal model is presented by adding scalable parameters to drain-source current and non-linear capacitance equations. The scalable model of a 1.25 mm GaN HEMT has been employed to design a class-AB power amplifier for validation purposes. The results show that good agreement has been achieved between the simulated and measured results with 37.2 dBm saturation output power (Psat) and 58% maximum power-added-efficiency at 3 GHz.

Suggested Citation

  • Yuehang Xu & Wenli Fu & Changsi Wang & Chunjiang Ren & Haiyan Lu & Weibin Zheng & Xuming Yu & Bo Yan & Ruimin Xu, 2014. "A scalable GaN HEMT large-signal model for high-efficiency RF power amplifier design," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 28(15), pages 1888-1895, October.
  • Handle: RePEc:taf:tewaxx:v:28:y:2014:i:15:p:1888-1895
    DOI: 10.1080/09205071.2014.947440
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2014.947440
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09205071.2014.947440?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tewaxx:v:28:y:2014:i:15:p:1888-1895. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tewa .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.