Nonlinear Compensation for High Power Amplifiers using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/iscas/MoritzLH07,
  author =       "Robin Moritz and Henry Leung and Xinping Huang",
  title =        "Nonlinear Compensation for High Power Amplifiers using
                 Genetic Programming",
  booktitle =    "IEEE International Symposium on Circuits and Systems,
                 ISCAS 2007",
  year =         "2007",
  pages =        "2323--2326",
  address =      "New Orleans, USA",
  month =        "27-30 " # may,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, autonomous
                 system identification, communication system
                 nonlinearities, communication systems, evolutionary
                 algorithm, high power amplifiers, least-squares
                 parameter estimator, linear amplification, nonlinear
                 compensation, optimal rational model structure,
                 predistorter, predistortion module, power amplifiers,
                 telecommunication",
  DOI =          "doi:10.1109/ISCAS.2007.378853",
  size =         "4 pages",
  abstract =     "Nonlinearities are inherent in a high power amplifier
                 (HPA) resulting in undesirable distortion in
                 communication systems. A predistortion module is
                 usually cascaded in front of the HPA to compensate
                 these nonlinearities. The structure of the predistorter
                 is typically unknown and must be identified to attain a
                 linear amplification. In order to achieve an autonomous
                 system identification of the unknown predistorter
                 structure, this paper presents an evolutionary
                 algorithm based on genetic programming (GP). GP is used
                 to search for an optimal rational model structure and
                 is combined with a least-squares parameter estimator to
                 estimate the parameters of the evolved models. The
                 effectiveness of the proposed identification scheme has
                 been verified through experiments and comparison with
                 conventional predistortion techniques.",
  notes =        "least-squares LS-GP design rational function
                 predistorters",
  bibdate =      "2007-07-16",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/iscas/iscas2007.html#MoritzLH07",
}

Genetic Programming entries for Robin Moritz Henry Leung Xinping Huang

Citations