• DocumentCode
    2171221
  • Title

    Adaptive Piecewise Linear Predistorter Based on PSO and Indirect Learning Architecture

  • Author

    Liu, Hong-Yu ; Liu, Xiao-Feng

  • Author_Institution
    Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper puts forward the piecewise linear predistorter based on the PSO and bring out a FPGA implementation scheme based on the look-up table with low complexity when used in the high-speed predistortion system. Memoryless piecewise linear model and memory piecewise linear model are adopted according to the memory feature of power amplifiers. After approximating the nonlinear part by a piecewise linear function, its parameters are estimated by using PSO. The adaptive predistortion technique based on PSO is easy to implement. It is proved to be correct through Matlab simulation.
  • Keywords
    field programmable gate arrays; particle swarm optimisation; power amplifiers; FPGA implementation scheme; PSO; adaptive piecewise linear predistorter; adaptive predistortion technique; indirect learning architecture; memory piecewise linear model; memoryless piecewise linear model; particle swarm optimisation; power amplifier; Baseband; Mathematical model; Neural networks; Parameter estimation; Piecewise linear approximation; Piecewise linear techniques; Power amplifiers; Power system modeling; Predistortion; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304678
  • Filename
    5304678