• DocumentCode
    3472022
  • Title

    RF power amplifier modeling using polynomials with IIR bases functions

  • Author

    Rey, Claudio ; Masood, Mir ; Staudinger, Joseph ; Kenney, Steve

  • Author_Institution
    Freescale Semicond., Tempe, AZ
  • fYear
    2009
  • fDate
    18-22 Jan. 2009
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    This paper presents a novel technique of modeling a radio frequency (RF) power amplifier (PAs) using polynomials with infinite impulse response (IIR) bases functions. Non-linear PA behavior, including both short-term and long-term memory effects, is described with very few parameters compared to existing Volterra series models. Moreover, the use of polynomials with IIR bases is far less computationally intensive thereby providing a significant advantage over competing methods. Power amplifiers designed for second generation (EDGE) wireless system are investigated for model validation. Excellent results are obtained, where the error between model prediction and measurements is better than 50 dBc, with the amplifier being driven with an EDGE signal at several power levels.
  • Keywords
    3G mobile communication; Volterra series; cellular radio; power amplifiers; radiofrequency amplifiers; EDGE; IIR bases functions; RF power amplifier modeling; Volterra series models; infinite impulse response bases; long-term memory effects; nonlinear PA behavior; polynomials; radio frequency power amplifier; second generation wireless system; short-term memory effects; Circuits; Kernel; Polynomials; Power amplifiers; Power system modeling; Radio frequency; Radiofrequency amplifiers; Semiconductor optical amplifiers; Telephone sets; Voltage; Power amplifier; Volterra series; infinite impulse response (IIR) bases functions; modeling; nonlinear; polynomial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Symposium, 2009. RWS '09. IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-2698-0
  • Electronic_ISBN
    978-1-4244-2699-7
  • Type

    conf

  • DOI
    10.1109/RWS.2009.4957280
  • Filename
    4957280