• DocumentCode
    236953
  • Title

    Far-field radiation estimation from near-field measurements and image theory

  • Author

    Jingnan Pan ; Xu Gao ; Yaojiang Zhang ; Jun Fan

  • Author_Institution
    EMC Laboratroy, Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2014
  • fDate
    4-8 Aug. 2014
  • Firstpage
    609
  • Lastpage
    614
  • Abstract
    This paper proposed a near-field to far-field transformation method for the radiation sources located on a large ground plane, based on the Huygens´s principle and image theory. This method uses the tangential electromagnetic fields on a small near-field plane and the vertical electric fields, one tangential component (parallel to the ground plane) of magnetic fields around the near-field plane to extract the equivalent current sources. The far-field radiations are calculated from these equivalent sources and their images. The application of this method in several simulation models indicates that it has very good performance on both simple printed circuit boards and antenna radiation estimation. The method proposed in this paper can decrease the total scanning area in real measurements.
  • Keywords
    antenna radiation patterns; constant current sources; electromagnetic fields; electromagnetic wave propagation; Huygens´s principle; antenna radiation estimation; equivalent current sources; far-field radiations; image theory; large ground plane; near-field plane; near-field to far-field transformation method; printed circuit boards; radiation sources; tangential electromagnetic fields; total scanning area; vertical electric fields; Accuracy; Antenna measurements; Current measurement; Electromagnetic fields; Estimation; Magnetic field measurement; Mathematical model; Huygens´s principle; image theory; near-field to far-field transformation;
  • 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.2014.6899043
  • Filename
    6899043