• DocumentCode
    1755223
  • Title

    Mitigation of RFIS for SMOS: A Distributed Approach

  • Author

    Soldo, Yan ; Khazaal, Ali ; Cabot, Francois ; Richaume, Philippe ; Anterrieu, Eric ; Kerr, Yann H.

  • Author_Institution
    Centre d´Etudes Spatiales dela BIOsphere, Toulouse, France
  • Volume
    52
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    7470
  • Lastpage
    7479
  • Abstract
    The Soil Moisture and Ocean Salinity (SMOS) satellite was launched by the European Space Agency on November 2, 2009. Its payload, i.e., Microwave Imaging Radiometer with Aperture Synthesis, which is a 2-D L-band interferometric radiometer, measures the brightness temperatures (BTs) in the protected 1400-1427-MHz band. Although this band was preserved for passive measurements, numerous radio frequency interferences (RFIs) are clearly visible in SMOS data. One method to get rid of these interferences is to create a synthetic signal as close as possible to the measured interference and subtract it from the instrument visibilities. In this paper, we describe an approach to create such a signal and on how to use it for geolocalization of the emitters. Then, different methods for assessing the quality of the mitigation are introduced. Due to the complexity of estimating the effects of mitigation globally, it is finally proposed to use mitigation results to create flag maps about the estimated RFI impact, to be associated with BT measurements.
  • Keywords
    hydrological techniques; microwave measurement; oceanographic techniques; radiofrequency interference; radiometry; radiowave interferometry; remote sensing; salinity (geophysical); soil; 2D L-band interferometric radiometer; Aperture Synthesis; European Space Agency; Microwave Imaging Radiometer; RFI impact estimation; RFI mitigation; SMOS data; SMOS satellite; Soil Moisture and Ocean Salinity; brightness temperatures; distributed approach; emitter geolocalization; flag map creation; frequency 1400 MHz to 1427 MHz; instrument visibility; passive measurements; radio frequency interference; synthetic signal; Clustering algorithms; Earth; Extraterrestrial measurements; Instruments; Microwave radiometry; Pollution measurement; Sea measurements; Detection; RFI impact; Soil Moisture and Ocean Salinity (SMOS); localization; mitigation; radio frequency interference (RFI);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2014.2312988
  • Filename
    6803966