• DocumentCode
    1308059
  • Title

    Design for centres of RBF neural networks for fast time-varying channel equalisation

  • Author

    Gan, Qiaoqiang ; Subramanian, Ramanathan ; Sundararajan, N. ; Saratchandran, P.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst.
  • Volume
    32
  • Issue
    25
  • fYear
    1996
  • fDate
    12/5/1996 12:00:00 AM
  • Firstpage
    2333
  • Lastpage
    2334
  • Abstract
    A radial basis function (RBF) neural network combined with a channel estimator, is used for fast time-varying channel equalisation. A new method for calculating RBF centres and weights is proposed to reduce the number of hidden units in the high-order RBF equaliser. A Rayleigh fading channel model and 10 million random symbols are used in the simulation studies. Very good equalisation performance is achieved by using a high-order RBF network with only eight centres
  • Keywords
    Rayleigh channels; equalisers; fading; neural nets; signal processing; time-varying channels; RBF neural networks; RBF weights calculation; Rayleigh fading channel model; channel estimator; fast time-varying channel equalisation; high-order RBF equaliser; radial basis function;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19961552
  • Filename
    555961
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1308059