• DocumentCode
    408114
  • Title

    Prediction analysis of the electromagnetic interfering signal in communication systems

  • Author

    Ping, Liu ; Yongping, Xie ; Youjun, Ma ; Ruihua, Zang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., China
  • Volume
    1
  • fYear
    2003
  • fDate
    8-13 Oct. 2003
  • Firstpage
    651
  • Abstract
    This paper is devoted to investigation on prediction analyzing of the electromagnetic interfering signal in communication systems. In this paper, we proposed the concept of mathematical model group, and discussed the problem from several aspects which is listed below: frequency band of the transmitter, clutter and harmonic model of the receiver, the radiation power of the receiver, the modulation envelope curve, the frequency selection curve of the receiver, the correction factor of frequency interval and frequency selection, the susceptibility threshold, and the interfering signal power. When the frequency of the clutter approached the affected receiver´s working frequency fR, it would form a sort of interference which affect the receiver. If the complementary wave of the interference of FIM, RIM, TIM and SIM is less than -20 db, it could be regarded that no interference exists. Otherwise, it could be regarded that the interference exists, and some measure must be used to eliminate the interference.
  • Keywords
    clutter; electromagnetic interference; modulation; prediction theory; radio receivers; radio transmitters; communication systems; electromagnetic interfering signal; frequency band; frequency interval; frequency selection; frequency selection curve; harmonic model; interfering signal power; modulation envelope curve; prediction analysis; radiation power; Clutter; Electromagnetic analysis; Electromagnetic radiation; Frequency; Interference elimination; Mathematical model; Power system harmonics; Power system modeling; Signal analysis; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7925-X
  • Type

    conf

  • DOI
    10.1109/RISSP.2003.1285651
  • Filename
    1285651