• DocumentCode
    2275386
  • Title

    High order inverse polynomial predistortion for memoryless RF power amplifiers

  • Author

    Xiao Li ; Wen Lv ; Fu Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA
  • fYear
    2013
  • fDate
    22-258 Nov. 2013
  • Firstpage
    335
  • Lastpage
    338
  • Abstract
    The digital predistortion (DPD) technique is widely used for compensation of the nonlinearity of RF power amplifiers (PAs). Nonlinearity and memory effect are two main considerations in predistortion designs. In some applications, there are advantages in using predistorters to linearize PAs before compensating for the memory effect. In this short paper, we present a polynomial predistortion method based on pth-order inverse method to compensate the memoryless nonlinearity of PAs. The coefficients of the polynomial predistorters up to the arbitrarily high orders can be identified directly from coefficients of the simple polynomial PA model up to arbitrarily high orders, which makes the compensation process much simpler than using complex algorithms computations. Furthermore, the proposed method can be adapted to the predistortion of PAs with memory effect, and can be implemented to field programmable gate arrays (FPGAs).
  • Keywords
    distortion; field programmable gate arrays; polynomials; power amplifiers; radiofrequency amplifiers; FPGA; compensation process; complex algorithms computations; digital predistortion technique; field programmable gate arrays; high order inverse polynomial predistortion; memory effect; memoryless RF power amplifiers; memoryless nonlinearity; nonlinearity compensation; polynomial predistorters; polynomial predistortion method; predistortion designs; pth-order inverse method; RF power amplifier; nonlinearity; predistortion; pth order inverse;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Multimedia Networks (ICWMMN 2013), 5th IET International Conference on
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-726-7
  • Type

    conf

  • DOI
    10.1049/cp.2013.2436
  • Filename
    6827853