• DocumentCode
    3058884
  • Title

    RFI suppression in SAR based on clutter estimation

  • Author

    Huan Wang ; Jinping Sun ; Yanping Wang ; Shiyi Mao

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    1995
  • Lastpage
    1998
  • Abstract
    Radio Frequency Interference (RFI) can deteriorate imaging quality of low frequency band synthetic aperture radar (SAR). For SAR using Linear Frequency Modulation (LFM) signals, this paper proposes an RFI suppression method based on clutter estimation in range frequency domain. This method uses eigen-decomposition to complete RFI detection and gets the maximum likelihood estimation (MLE) of clutter intensity for imaging scene. After determining spectrum intervals of RFI signals by the judging method of threshold, our method uses wiener filter to filter the RFI signals in the range frequency domain. The processing results of L-band SAR data verify the effectiveness of our method.
  • Keywords
    Wiener filters; eigenvalues and eigenfunctions; frequency modulation; maximum likelihood estimation; radar clutter; remote sensing by radar; synthetic aperture radar; L-band SAR data; RFI suppression method; Wiener filter; clutter estimation; eigen-decomposition; linear frequency modulation; low frequency band synthetic aperture radar; maximum likelihood estimation; radiofrequency interference; range frequency domain; Clutter; Frequency-domain analysis; Imaging; Maximum likelihood estimation; Synthetic aperture radar; Wiener filters; MLE; RFI suppression; SAR; eigen-decomposition; histogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723200
  • Filename
    6723200