• DocumentCode
    2202072
  • Title

    Adaptive power amplifier linearization by digital pre-distortion using genetic algorithms

  • Author

    Sills, JA ; Sperlich, R.

  • Author_Institution
    Intersil Corp., Scottsdale, AZ, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    This paper investigates the application of genetic algorithms to PA linearization using digital pre-distortion with narrowband feedback. An algorithm is presented that adapts a polynomial pre-distortion function to minimize adjacent channel emissions. The paper describes the implementation of this algorithm and compares its performance with a random search technique. Results show nearly optimal performance in a limited number of iterations, suggesting that this technique can be employed as a low-cost solution to meet adjacent channel leakage ratio (ACLR) requirements.
  • Keywords
    3G mobile communication; adaptive signal processing; circuit optimisation; feedback amplifiers; genetic algorithms; linearisation techniques; power amplifiers; 3G basestation; ACLR; adaptive linearization; adjacent channel emission minimization; adjacent channel leakage ratio; digital pre-distortion; genetic algorithms; iterations; low-cost solution; narrowband feedback; optimal performance; polynomial pre-distortion function; power amplifier linearization; Bandwidth; Costs; Feedback; Genetic algorithms; Narrowband; Nonlinear distortion; Polynomials; Power amplifiers; Signal design; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Conference, 2002. RAWCON 2002. IEEE
  • Print_ISBN
    0-7803-7458-4
  • Type

    conf

  • DOI
    10.1109/RAWCON.2002.1030159
  • Filename
    1030159