• DocumentCode
    236912
  • Title

    Complex valued neural network modelling of the balun of a biconical antenna

  • Author

    Bonci, Alessio ; Carobbi, Carlo ; Luchetta, Antonio

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Florence, Florence, Italy
  • fYear
    2014
  • fDate
    4-8 Aug. 2014
  • Firstpage
    501
  • Lastpage
    506
  • Abstract
    A methodology is presented aimed at extracting the parameters of a lumped equivalent circuit model of a network from measurements of its complex network (scattering) parameters. The core of the extraction procedure is a modified complex valued neural network that can directly accept the complex network parameters as inputs. The methodology is here applied to the derivation of the circuit model of the balun of a biconical antenna. The complete process of parameter extraction is described paying particular attention to the description of the physical model of the network, the measurement setup and the operation and training of the neural network.
  • Keywords
    S-parameters; baluns; conical antennas; electrical engineering computing; equivalent circuits; neural nets; balun; biconical antenna; complex network parameters; lumped equivalent circuit model; modified complex valued neural network modelling; neural network training; parameter extraction procedure; scattering parameter; Antenna measurements; Impedance matching; Integrated circuit modeling; Neural networks; Neurons; Ports (Computers); Scattering; antenna modelling; complex valued neural network; electromagnetic compatibility measurements; model extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility (EMC), 2014 IEEE International Symposium on
  • Conference_Location
    Raleigh, NC
  • Print_ISBN
    978-1-4799-5544-2
  • Type

    conf

  • DOI
    10.1109/ISEMC.2014.6899024
  • Filename
    6899024