• DocumentCode
    323845
  • Title

    GGMAC-based equalizer for nonlinear channels

  • Author

    González-Serrano, Francisco J. ; Figueiras-Vidal, Aníbal R. ; Artés-Rodríguez, A.

  • Author_Institution
    ETSI Telecomunicacion, Vigo Univ., Spain
  • Volume
    2
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    1165
  • Abstract
    This paper deals with the compensation for the nonlinear distortion introduced by power-efficient amplifiers on linear modulation by means of equalization. We propose a new equalizer based on a reduced-complexity network called the generalized cerebellar model arithmetic computer (GMAC) GCMAC. The GCMAC-based equalizer is compared with other well-known structures such as the Volterra filter and the multi-layer perceptron. Extensive computer simulations have been carried out. The obtained results show the effectiveness of the proposed structure to compensate for strong nonlinearities
  • Keywords
    cerebellar model arithmetic computers; decision feedback equalisers; electric distortion; multilayer perceptrons; power amplifiers; pulse amplitude modulation; telecommunication channels; telecommunication computing; DFE; GCMAC-based equalizer; GGMAC-based equalizer; Volterra filter; computer simulations; generalized cerebellar model arithmetic computer; linear modulation; multi-layer perceptron; nonlinear channels; nonlinear distortion compensation; power-efficient amplifiers; pulse amplitude modulation; reduced-complexity network; Computer simulation; Decision feedback equalizers; Decision support systems; Ear; Filters; Multilayer perceptrons; Nonlinear distortion; Power amplifiers; Telecommunication standards; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.675477
  • Filename
    675477