• DocumentCode
    1413610
  • Title

    HF Radio-Frequency Interference Mitigation

  • Author

    Chen, Gang ; Zhao, Zhengyu ; Zhu, Guoqiang ; Huang, Yujie ; Li, Ting

  • Author_Institution
    Sch. of Electron. Inf., Wuhan Univ., Wuhan, China
  • Volume
    7
  • Issue
    3
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    479
  • Lastpage
    482
  • Abstract
    The dense radio-frequency interference (RFI) distributed on the spectrum in the high-frequency band greatly degrades the performance of radio systems and makes it urgent to find an effective and speedy method to eliminate the interferences. The interference mitigation method introduced in this letter is implemented before any further signal processing. It reconstructs the interference by the exactly estimated frequency, amplitude, and phase parameters in the signal spectrum and then subtracts the artificial interference from the input time-domain complex signal. The procedure steps of the method are illustrated in detail. The data stream of continuous oblique-incident ionospheric detection has been processed effectively and rapidly in real time. Several delay-Doppler ionograms severely contaminated by RFI are selected and presented. Comparisons of the original and mitigated ionograms and the signal-to-noise ratio (SNR) data show that the RFIs are eliminated perfectly and that the SNR is greatly improved.
  • Keywords
    amplitude estimation; frequency estimation; interference suppression; radiocommunication; radiofrequency interference; signal detection; signal reconstruction; time-domain analysis; HF radiofrequency interference mitigation; RFI; SNR data; amplitude estimation; artificial interference; data stream; delay-Doppler ionograms; frequency estimation; high-frequency band; interference elimination; interference reconstruction; oblique-incident ionospheric detection; phase parameters; radio systems; signal processing; signal-to-noise ratio; time-domain complex signal; High-frequency (HF) radar; interference suppression; ionogram; radar signal processing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2039340
  • Filename
    5409671