• DocumentCode
    237010
  • Title

    A hybrid approach to calculate mean response and variance in a reverberant environment

  • Author

    Langley, Robin S. ; Barbarulo, Andrea ; Kovalevsky, Louis

  • Author_Institution
    Dept. of Eng., Univ. of Cambridge, Cambridge, UK
  • fYear
    2014
  • fDate
    4-8 Aug. 2014
  • Firstpage
    768
  • Lastpage
    774
  • Abstract
    In this paper a statistical approach is employed to solve high frequency EMC problems at a reduced computational cost. The case of interest is a system lying within a reverberant cavity that has random or uncertain properties. If a conventional numerical approach is employed for this problem then very significant computational effort is required since Maxwell´s equations need to be solved for both the cavity and the system. The key aspect of the proposed approach is to avoid solving Maxwell´s equations inside the cavity by employing a relation known as the diffuse field reciprocity principle, which leads directly to the ensemble mean response of the system and its variance; all that is required is the impedance matrix of the system associated with radiation into infinite space. Theoretical developments leading to the mean and variance are presented. This technique is then applied to a numerical example.
  • Keywords
    Maxwell equations; electromagnetic compatibility; impedance matrix; statistical analysis; Maxwell equations; computational cost reduction; field reciprocity; high frequency EMC problems; impedance matrix; mean response; reverberant cavity; reverberant environment; statistical approach; Cavity resonators; DH-HEMTs; Equations; Impedance; Mathematical model; Surface impedance; Wires; reciprocity; reverberation; statistical electromagnetism;
  • 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.2014.6899072
  • Filename
    6899072