• DocumentCode
    1469849
  • Title

    Statistical EM field models in an externally illuminated, overmoded cavity

  • Author

    Holland, Richard ; John, Richard H St

  • Author_Institution
    Shield Rite Inc., Albuquerque, NM, USA
  • Volume
    43
  • Issue
    1
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    56
  • Lastpage
    66
  • Abstract
    A description is given of the statistics of EM fields and power fluxes inside a highly overmoded, leaky, externally driven cavity. We explore various modeling combinations of chi square (with two and six degrees of freedom), normal, and log normal distributions. Convolution (in an unusual, logarithmic sense) of the two chi square models (with two and six degrees of freedom) proves to provide the best match with observation. Statistically generated field models are then used as drivers of cable codes describing the wiring in an aircraft shell. Modeled cable-current cumulative distribution functions match experimental results within a factor of two, which is commensurate with the configuration and measurement uncertainty
  • Keywords
    aircraft; cables (electric); electric current; electromagnetic fields; log normal distribution; modal analysis; normal distribution; statistical analysis; Celestron 8 satellite telescope data; PDF; aircraft shell; cable codes; cable-current cumulative distribution functions; chi square distribution; chi square models; convolution; data modeling; externally illuminated overmoded cavity; leaky externally driven cavity; log normal distribution; measurement uncertainty; normal distribution; power fluxes; statistical EM field models; wiring; Aircraft; Antenna accessories; Current measurement; Dipole antennas; Electromagnetic fields; Frequency; Laboratories; Log-normal distribution; Power cables; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Electromagnetic Compatibility, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9375
  • Type

    jour

  • DOI
    10.1109/15.917938
  • Filename
    917938