• DocumentCode
    745606
  • Title

    From post-distortion to pre-distortion for power amplifiers linearization

  • Author

    Marsalek, R. ; Jardin, P. ; Baudoin, G.

  • Author_Institution
    ESIEE Signal Process. & Telecommun. Dept., Noisy Le Grand, France
  • Volume
    7
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    308
  • Lastpage
    310
  • Abstract
    This letter presents a new method of digital adaptive pre-distortion for linearization of power amplifiers (PA). The method is derived from a post-distortion approach which identifies the PA inverse function. This approach leads to the minimization of a quadratic function of the polynomial coefficients in the case of a polynomial predistorter form and a least square criterion. We have compared our solution to a method previously proposed by Ghaderi (1996) that was also based on the transformation of a post-distortion into a pre-distortion system. We have tested our predistorter (along with a baseband adaptation of Ghaderi´s) on OFDM Hiperlan signals. Both methods significantly reduced the signal distortion and the spectral regrowth. Our less complex approach proved to be even better for small peak back off values.
  • Keywords
    OFDM modulation; least squares approximations; linearisation techniques; minimisation; mobile radio; nonlinear distortion; polynomial approximation; power amplifiers; wireless LAN; OFDM Hiperlan signals; digital adaptive pre-distortion; inverse function; least square criterion; peak back off values; polynomial coefficients; polynomial predistorter; post-distortion; power amplifier linearization; quadratic function minimization; signal distortion; spectral regrowth; Baseband; Iterative algorithms; OFDM; Phase distortion; Polynomials; Power amplifiers; Power generation; Signal processing; Signal processing algorithms; Testing;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2003.814714
  • Filename
    1214055