• DocumentCode
    753710
  • Title

    Ambiguity-free Doppler centroid estimation technique for airborne SAR using the Radon transform

  • Author

    Kong, Young-Kyun ; Cho, Byung-Lae ; Kim, Young-Soo

  • Author_Institution
    Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol., Gyungbuk, South Korea
  • Volume
    43
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    715
  • Lastpage
    721
  • Abstract
    In synthetic aperture radar (SAR) signal processing, the Doppler centroid estimation technique, called the "clutter-lock", is important because it is related to the signal-to-noise ratio, geometric distortion, and radiometric error of the final SAR image. Conventional algorithms have either ambiguity problems or somewhat high computational load. Using the fact that the Doppler centroid and the squint angle are directly related, we propose an ambiguity-free Doppler centroid estimation technique using Radon transform, named geometry-based Doppler estimator. The proposed algorithm is computationally efficient and shows good performance of estimating the absolute Doppler centroid.
  • Keywords
    Doppler effect; Radon transforms; airborne radar; geophysical signal processing; geophysical techniques; radar clutter; synthetic aperture radar; Doppler ambiguity resolver; Radon transform; SAR image; SAR signal processing; airborne SAR; ambiguity-free Doppler centroid estimation technique; clutter-lock; geometric distortion; geometry-based Doppler estimator; radiometric error; signal-to-noise ratio; squint angle; synthetic aperture radar; Azimuth; Distortion; Doppler radar; Frequency; Radar imaging; Radiometry; Signal processing algorithms; Signal resolution; Signal to noise ratio; Synthetic aperture radar; Clutter-lock; Doppler ambiguity resolver; Doppler ambiguity resolver (DAR); Doppler centroid estimation; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2005.843955
  • Filename
    1411977