• DocumentCode
    2688318
  • Title

    Doppler Parameter Estimation for Single-Channel SAR Moving Target based on a Novel Model in Complex Image Domain

  • Author

    Zuo, Yu ; Xu, Jia ; Peng, Yingning

  • Author_Institution
    Tsinghua Univ., Beijing
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In order to characterize the signal of moving target in complex image domain (CID) of synthetic aperture radar (SAR), this paper deduces the model of moving target based on Range-Doppler imaging algorithm and stationary phase principle (SPP). In CID, the target approximately modeled as a linear frequency modulated signal (LFM), which has a great improvement in signal-clutter ratio (SCR), and distributes as mis-located segment in the 2D image. The center and slope of the segment is determined by the Doppler center and Doppler ambiguity integer. Meanwhile, the spreading length is jointly determined by the azimuth velocity and Doppler ambiguity integer. Furthermore, this paper derives the Cramer-Rao Bound (CRB) of parameter estimation in CID. At last, numeric experiments is made to approve the conclusion.
  • Keywords
    Doppler measurement; geophysical signal processing; image processing; radar clutter; remote sensing by radar; synthetic aperture radar; 2D signal model; Cramer-Rao Bound; Doppler ambiguity integer; Doppler center; Doppler parameter estimation; Range-Doppler imaging algorithm; azimuth velocity; complex image domain; linear frequency modulated signal; maximum likelihood methods; moving target signal characterisation; signal-clutter ratio; single-channel SAR moving target model; stationary phase principle; synthetic aperture radar; Azimuth; Chirp modulation; Clutter; Doppler radar; Image segmentation; Parameter estimation; Radar imaging; Spaceborne radar; Synthetic aperture radar; Thyristors; Doppler ambiguity integer; complex image domain; moving target; signal model; synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779567
  • Filename
    4779567