• DocumentCode
    1399761
  • Title

    Digital Predistortion Using Stochastic Conjugate Gradient Method

  • Author

    Jiang, Hong ; Yu, Xin ; Wilford, Paul A.

  • Author_Institution
    Bell Labs., Alcatel-Lucent, Murray Hill, NJ, USA
  • Volume
    58
  • Issue
    1
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    114
  • Lastpage
    124
  • Abstract
    This paper is concerned with digital predistortion for linearization of RF high power amplifiers (HPAs). An iterative stochastic conjugate gradient (SCG) method is used in computing the predistorter in the digital predistortion. We also propose an adaptive scheme for selecting basis functions in the SCG computations. The adaptive scheme with SCG has the advantage of reducing the complexity and, at the same time, increasing the convergence rate and stability of iteration. We present some results of using the SCG in a hardware platform with a solid state HPA.
  • Keywords
    conjugate gradient methods; power amplifiers; HPA linearization; RF high-power amplifiers; basis function selection; complexity reduction; digital predistortion; iteration stability; iterative SCG method; solid-state HPA; stochastic conjugate gradient method; Approximation methods; Convergence; Covariance matrix; Polynomials; Predistortion; Vectors; Gradient methods; linearization techniques; power amplifiers; predistortion; stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/TBC.2011.2174281
  • Filename
    6104394