• DocumentCode
    3385900
  • Title

    A fast convergence digital pre-distortion of APSK modulations based on joint algorithm

  • Author

    Jingming Hu ; Daoxing Guo

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    1308
  • Lastpage
    1311
  • Abstract
    To compensate the nonlinear distortion of signals when high level APSK modulations is applied to satellite communication systems, a fast convergence memoryless digital pre-distortion algorithm is proposed. Based on the Saleh model of satellite high power amplifier (HPA), a joint algorithm for the adaptive parameter estimation is adopted which combines the normalized least mean square (NLMS) and recursive least square (RLS) algorithm. At the beginning of adaptive process RLS is used, and LMS is used when errors are reduced to a certain degree, and hence the factors of HPA models are calculated fast and accurately. Simulations results show that this algorithm converges fast and gets small steady state errors.
  • Keywords
    least mean squares methods; nonlinear distortion; parameter estimation; phase shift keying; power amplifiers; satellite communication; APSK modulations; HPA; NLMS; RLS; Saleh model; adaptive parameter estimation; amplitude phase shift keying; joint algorithm; memoryless digital pre-distortion; nonlinear distortion; normalized least mean square; recursive least square; satellite communication systems; satellite high power amplifier; Adaptation models; Constellation diagram; Convergence; Joints; Nonlinear distortion; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747778
  • Filename
    6747778