• DocumentCode
    1890734
  • Title

    Characterization and extent of randomly-changing radio frequency interference in ALOS PALSAR data

  • Author

    Meyer, F.J. ; Nicoll, J.B. ; Doulgeris, A.P.

  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    2448
  • Lastpage
    2451
  • Abstract
    This paper analyzes severe, broadband, radio frequency interference (RFI) signatures that are commonly observed in L-band ALOS PALSAR images acquired close to the North American Arctic coast. These RFI signals are caused by military over-the-horizon radar systems. We introduce the specifics of the interfering signals and demonstrate that standard RFI Filters used in the operational ALOS PALSAR processor are insufficient to remove their influence. A new approach for filtering the identified RF interferences is presented and its performance is analyzed by a cross comparison with reference methods. The capabilities of the new correction method are emphasized by presenting several processing results, A statistical and geographical analysis of the strength and distribution of observed RFI signatures is shown, indicating widespread contamination of imagery across the American Arctic coast.
  • Keywords
    geophysical signal processing; radar signal processing; radiofrequency interference; remote sensing by radar; spaceborne radar; synthetic aperture radar; ALOS PALSAR data; L-band ALOS PALSAR images; North American Arctic coast; RF interference filtering; RFI signature distribution; RFI signature strength; correction method; geographical analysis; military over the horizon radar systems; radiofrequency interference; randomly changing RFI characterization; randomly changing RFI extent; severe broadband RFI signatures; statistical analysis; Arctic; Azimuth; Coherence; Correlation; Filtering algorithms; Interference; Radar; Image Correction; Notch Filtering; Polarimetric; Radio Frequency Interference; Synthetic Aperture Radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049706
  • Filename
    6049706