• DocumentCode
    2282605
  • Title

    A Novel Adaptive Digital Predistortion for RF Power Amplifier Linearization Based on Simplified Volterra Series

  • Author

    Peng, Zhang ; Qin, Zhang ; Siliang, Wu

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • fYear
    2007
  • fDate
    16-17 Aug. 2007
  • Firstpage
    327
  • Lastpage
    331
  • Abstract
    Adaptive digital predistortion (ADPD) is an effective approach to compensate for nonlinear distortion introduced by RF power amplifiers (PAs). Volterra series is applicable for predistorter design to linearize memory PAs; however, the number of its kernels to be identified increases greatly with its degree and memory length. In this paper, a simplified Volterra series (SVS) predistorter model is proposed. By only preserving partial Volterra kernels in the region near the main diagonal, the structure is simplified and computational complexity is reduced dramatically. Through MATLAB simulations using a Wiener-Hammerstein PA model and a two-carrier WCDMA wideband signal, linearization performances of SVS-based predistorters are demonstrated in terms of suppressing spectral regrowth.
  • Keywords
    Volterra series; code division multiple access; linearisation techniques; mathematics computing; nonlinear distortion; radiofrequency amplifiers; wideband amplifiers; ADPD; MATLAB simulation; RF power amplifier linearization; Wiener-Hammerstein PA model; adaptive digital predistortion; nonlinear distortion; simplified volterra series; spectral regrowth suppression; two-carrier WCDMA wideband signal; Computational complexity; Kernel; MATLAB; Mathematical model; Nonlinear distortion; Power amplifiers; Predistortion; Radio frequency; Radiofrequency amplifiers; Radiofrequency identification; Adaptive digital predistortion; RF power amplifiers; Volterra series; WCDMA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-1045-3
  • Electronic_ISBN
    978-1-4244-1045-3
  • Type

    conf

  • DOI
    10.1109/MAPE.2007.4393613
  • Filename
    4393613