• DocumentCode
    539128
  • Title

    Simultaneous navigation and SAR auto-focusing

  • Author

    Sjanic, Z. ; Gustafsson, F.

  • Author_Institution
    Dept. of Electr. Eng., Linkoping Univ., Linköping, Sweden
  • fYear
    2010
  • fDate
    26-29 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Synthetic Aperture Radar (SAR) equipment is an all-weather radar imaging system that can create high resolution images by means of utilising the movement of the flying platform. Accurate knowledge of the flown trajectory is essential in order to get focused images. Recently SAR systems are becoming more used on smaller and cheaper flying platforms like Unmanned Aerial Vehicles (UAV). Since UAVs in general have navigation systems with poorer performance than manned aircraft, the resulting images will inevitably be unfocused. At the same time, the unfocused images carry the information about the platforms trajectory that can be utilised. Here a way of using SAR images and their focus measure in a sensor fusion framework in order to simultaneously obtain both improved images and trajectory estimate is presented. The method is illustrated on a simple simulated example with promising results. Finally a discussion about the results and future work is given.
  • Keywords
    aerospace robotics; mobile robots; path planning; radar imaging; remotely operated vehicles; robot vision; sensor fusion; synthetic aperture radar; SAR auto-focusing; UAV navigation systems; all-weather radar imaging system; sensor fusion framework; synthetic aperture radar; unmanned aerial vehicles; Azimuth; Entropy; Histograms; Pixel; Synthetic aperture radar; Trajectory; Velocity measurement; Synthetic Aperture Radar; auto-focusing; estimation; optimisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2010 13th Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-9824438-1-1
  • Type

    conf

  • DOI
    10.1109/ICIF.2010.5711931
  • Filename
    5711931