• DocumentCode
    1513539
  • Title

    Moving-Target Tracking in Single-Channel Wide-Beam SAR

  • Author

    Henke, Daniel ; Magnard, Christophe ; Frioud, Max ; Small, David ; Meier, Erich ; Schaepman, Michael E.

  • Author_Institution
    Dept. of Geogr., Univ. of Zurich, Zürich, Switzerland
  • Volume
    50
  • Issue
    11
  • fYear
    2012
  • Firstpage
    4735
  • Lastpage
    4747
  • Abstract
    A novel method for moving-target tracking using single-channel synthetic aperture radar (SAR) with a large antenna beamwidth is introduced and evaluated using a field experiment and real SAR data. The presented approach is based on subaperture SAR processing, image statistics, and multitarget unscented Kalman filtering. The method is capable of robustly detecting and tracking moving objects over time, providing information not only about the existence of moving targets but also about their trajectories in the image space while illuminated by the radar beam. We have successfully applied the method on an experimental data set using miniature SAR to accurately characterize the movement of vehicles on a highway section in the radar image space.
  • Keywords
    Kalman filters; nonlinear filters; object detection; object tracking; radar detection; radar imaging; radar tracking; statistics; synthetic aperture radar; target tracking; image statistics; large antenna beamwidth; moving object detection; moving object tracking; moving-target tracking; multitarget unscented Kalman filtering; radar imaging space; single-channel wide-beam SAR; subaperture SAR processing; synthetic aperture radar; Azimuth; Doppler effect; Kalman filters; Radar tracking; Synthetic aperture radar; Target tracking; Kalman filtering; synthetic aperture radar (SAR); tracking; tracking filters;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2191561
  • Filename
    6197707