• DocumentCode
    3475145
  • Title

    Digital predistorters sensitivity to delay alignment resolution

  • Author

    Hammi, Oualid ; Younes, Mayada ; Vassilakis, Bill ; Ghannouchi, Fadhel M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB
  • fYear
    2009
  • fDate
    18-22 Jan. 2009
  • Firstpage
    606
  • Lastpage
    609
  • Abstract
    In this paper, the effects of delay alignment between power amplifiers´ input and output waveforms used to synthesize the digital predistorters (DPD) is discussed. Various delay values are applied to align the input and output waveforms; and a memory polynomial based DPD model is synthesized for each delay value. Then, the effects of the residual delay on the performance of the linearized amplifier are evaluated. This reveals that the DPD performance is altered by delay under-estimation. Conversely, the DPD is not sensitive to delay over-estimation by up to one sampling period. This overcomes the need for the signal up-sampling required for sub-sample fine resolution delay alignment, and considerably reduces the computational complexity of the digital signal processing algorithm employed for delay estimation and alignment. A low complexity coarse delay estimation and alignment algorithm is then proposed.
  • Keywords
    delay estimation; distortion; linearisation techniques; power amplifiers; signal processing; delay alignment resolution; delay estimation; digital predistorters sensitivity; digital signal processing; linearized amplifier; memory polynomial; power amplifiers; Computational complexity; Delay effects; Delay estimation; Polynomials; Power amplifiers; Propagation delay; Signal processing; Signal processing algorithms; Signal resolution; Signal sampling; 3G; DPD; delay; distortion; memory effects; memory polynomial; power amplifier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Symposium, 2009. RWS '09. IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-2698-0
  • Electronic_ISBN
    978-1-4244-2699-7
  • Type

    conf

  • DOI
    10.1109/RWS.2009.4957424
  • Filename
    4957424