• DocumentCode
    1812587
  • Title

    Fast diagnosis, prediction and signal characterization of radiated electromagnetic interference (EMI) noise

  • Author

    Yang, Zhao ; Yak, See Kye ; Shijin, Li ; Yongchao, Luo

  • Author_Institution
    Coll. of Electr. Eng., Nanjing Normal Univ., Nanjing
  • Volume
    3
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1446
  • Lastpage
    1449
  • Abstract
    Usually the analysis and solution scheme for radiated EMI noise is trouble and difficult, since it is concerned with EM field or EM wave model and analysis. In order to ease the radiated EMI problem solved more efficiently, in this paper an approach of fast diagnosis , prediction and signal characterization for radiated EMI noise is presented. In the approach the EMI noise diagnosis technique is based on the near-field measurement and comparison, EM field prediction technique is based on the RF circuit measurement instead of EM field measurement and the noise identification is based on signal processing. It is seen that by using this fast modeling technique, the radiated EMI noise analysis can be simplified somewhere.
  • Keywords
    electromagnetic field theory; electromagnetic interference; EM field prediction technique; EMI noise diagnosis technique; EMI noise radiation; electromagnetic interference; signal characterization; signal processing; Circuit noise; Electromagnetic analysis; Electromagnetic compatibility; Electromagnetic interference; Electromagnetic modeling; Electromagnetic radiation; Magnetic field measurement; Noise generators; Noise measurement; Signal processing; EM field prediction; noise diagnosis; radiated EMI noise; signal identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Millimeter Wave Technology, 2008. ICMMT 2008. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1879-4
  • Electronic_ISBN
    978-1-4244-1880-0
  • Type

    conf

  • DOI
    10.1109/ICMMT.2008.4540717
  • Filename
    4540717