• DocumentCode
    1797176
  • Title

    An improvement iterative approach for wideband digital predistortion using under-sampling

  • Author

    Lie Zhang ; Yan Feng

  • Author_Institution
    Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    9-13 July 2014
  • Firstpage
    664
  • Lastpage
    667
  • Abstract
    The performance of the traditional approach of wideband digital pre-distortion (DPD) of radio frequency (RF) power amplifier (PA) is subject to the analog to digital converter (ADC) sampling rate of transmitter. In this paper, an improvement DPD iterative approach is proposed. Firstly, DPD input signal and PA output signal are under-sampled by Zhu´s generalized sampling theorem (ZGST). Secondly, an optimized iterative model is employed to obtain DPD model. The parameters of it can be extracted by DPD input signal and PA output signal. This improvement DPD iterative approach not only reduces hardware requirement of ADC sampling rate but also gives almost same linear performance with that by full sampling rate. The performance is validated by measurement result.
  • Keywords
    analogue-digital conversion; iterative methods; radiofrequency power amplifiers; signal sampling; DPD input signal; PA output signal; RFPA; ZGST; Zhu generalized sampling theorem; analog-digital converter sampling rate; hardware requirement reduction; improvement DPD iterative approach; linear performance; optimized iterative model; radiofrequency power amplifier; transmitter ADC sampling rate; undersampling; wideband DPD; wideband digital predistortion; Iterative methods; Mathematical model; Nonlinear distortion; Power amplifiers; Radio frequency; Wideband; Digital pre-distortion (DPD); Power amplifier (PA); Sampling rate; Under-sampling; Zhu´s generalized sampling theorem (ZGST);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-5401-8
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2014.6889327
  • Filename
    6889327