• DocumentCode
    549020
  • Title

    Navigation and SAR auto-focusing based on the phase gradient approach

  • Author

    Sjanic, Zoran ; Gustafsson, Fredrik

  • Author_Institution
    Dept. of Electr. Eng., Linkoping Univ., Linköping, Sweden
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Synthetic Aperture Radar (SAR) equipment is an all-weather radar imaging system that can be used to create high resolution images of the scene by utilising the movement of the flying platform. It is therefore essential to accurately estimate the platform´s trajectory in order to get good and focused images. Recently, both real time applications and smaller and cheaper platforms have been considered. This, in turn, leads to unfocused images since cheaper platforms, in general, have navigation systems with poorer performance. At the same time the radar data contain information about the platform´s motion that can be used to estimate the trajectory and get more focused images. Here, a method of utilising the phase gradient of the SAR data in a sensor fusion framework is presented. The method is illustrated on a simulated example with promising results. At the end a discussion about the obtained results and future work is covered.
  • Keywords
    gradient methods; image resolution; meteorological radar; radar imaging; sensor fusion; synthetic aperture radar; SAR auto-focusing; all-weather radar imaging system; flying platform; high resolution images; phase gradient approach; sensor fusion framework; synthetic aperture radar; Equations; Mathematical model; Radar imaging; Synthetic aperture radar; Time measurement; Trajectory; Extended Kalman filtering; Synthetic Aperture Radar; auto-focusing; navigation; phase gradient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977455