• DocumentCode
    1851769
  • Title

    Parametric SAR image formation — A promising approach to resolution-unlimited imaging

  • Author

    Gao, Yesheng ; Wang, Kaizhi ; Liu, Xingzhao

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    2516
  • Lastpage
    2520
  • Abstract
    A parametric SAR image formation scheme is proposed in this paper. Based on a model describing the received signal, the parameters of the model can be used to characterize the illuminated scene. A realization of parameter estimation via atomic decomposition is presented. The estimated parameters are then mapped onto the iso-range-Doppler grid to form a SAR image. Simulation results demonstrate that this scheme can provide an approach to resolution-unlimited imaging.
  • Keywords
    Doppler radar; image resolution; parameter estimation; radar imaging; synthetic aperture radar; atomic decomposition; illuminated scene; iso-range-Doppler grid; parameter estimation realization; parametric SAR image formation scheme; received signal; resolution-unlimited imaging; Image resolution; Imaging; Mathematical model; Parameter estimation; Signal processing algorithms; Signal resolution; Synthetic aperture radar; Synthetic aperture radar (SAR); atomic decomposition; image formation; parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334050