• DocumentCode
    3632432
  • Title

    Short-term fading simulator based on artificial neural networks

  • Author

    Nikola M. Tomasevic;Aleksandar M. Neskovic;Natasa J. Neskovic

  • Author_Institution
    Mihailo Pupin Institute, Serbia
  • fYear
    2009
  • Firstpage
    1681
  • Lastpage
    1688
  • Abstract
    In this paper, a novel technique for simulation of the short-term fading is presented and analyzed. A proposed solution is based on a trained artificial neural network (in further text ANN) and an oscillator for regulating the simulation process. In order to obtain adequate input data for training, cross-validation and testing, extensive measurements of electric field level were carried out in indoor environment. Statistical analysis of gained results has shown good performances of the proposed technique, and thereby the possibility for applying it in the real life situations.
  • Keywords
    "Fading","Artificial neural networks","Attenuation","Electric variables measurement","Indoor environments","Oscillators","Receiving antennas","Testing","Antenna measurements","Antennas and propagation"
  • Publisher
    ieee
  • Conference_Titel
    EUROCON 2009, EUROCON ´09. IEEE
  • Print_ISBN
    978-1-4244-3860-0
  • Type

    conf

  • DOI
    10.1109/EURCON.2009.5167869
  • Filename
    5167869