• DocumentCode
    2785249
  • Title

    Computationally efficient resampling of nonuniform oversampled SAR data

  • Author

    Goldman, Geoffrey H.

  • Author_Institution
    Signal & Image Process. Div., U.S. Army Res. Lab., Adelphi, MD, USA
  • fYear
    2010
  • fDate
    10-14 May 2010
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    A computationally efficient technique is developed to resample SAR data oversampled in the slow-time domain for a platform accelerating along the track. The algorithm segments the data between uniformly spaced points on the synthetic aperture, then performs a weighted average on the demodulated SAR data in each segment to adjust the effective sample position on the aperture. The weighting is derived using a first-order Taylor series approximation and used parameters from the velocity and acceleration of the platform and the radar waveform.
  • Keywords
    approximation theory; radar signal processing; series (mathematics); synthetic aperture radar; time-domain analysis; demodulated SAR data; first-order Taylor series approximation; nonuniform oversampled SAR data; radar waveform; uniformly spaced points; Acceleration; Change detection algorithms; Image reconstruction; Image segmentation; Military computing; Radar tracking; Robots; Signal processing algorithms; Synthetic aperture radar; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2010 IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-5811-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2010.5494649
  • Filename
    5494649