• DocumentCode
    2201877
  • Title

    An improved wide swath imaging algorithm based on series reversion in GEO SAR

  • Author

    Liu, Zhipeng ; Long, Teng ; Hu, Cheng ; Zeng, Tao

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2078
  • Lastpage
    2081
  • Abstract
    In geosynchronous (GEO) synthetic aperture radar (SAR), the synthetic aperture time (SAT) is very long and the trajectory mode should be considered as curve. This paper mainly analyzes the impacts of target azimuth position displacement on GEO SAR image formation. Because GEO SAR imaging need be based on the curved trajectory, targets´ azimuth position displacement on GEO SAR image formation can affect targets´ defocusing. This point will be analyzed by comparing two-dimensional (2-D) spectrum in GEO SAR and low earth orbit (LEO) SAR and some simulations. In the imaging formulation, to focusing a large scene, we present an improved secondary range compression (SRC) algorithm. In this proposed SRC algorithm, the azimuth compression function can adapt itself by changing the azimuth displacement. Finally, a large scene´s imaging under the long SAT is realized.
  • Keywords
    radar imaging; synthetic aperture radar; 2D spectrum; GEO SAR image formation; azimuth compression function; azimuth displacement; geosynchronous synthetic aperture radar; low earth orbit SAR; secondary range compression algorithm; series reversion; synthetic aperture time; target azimuth position displacement; trajectory mode; wide swath imaging algorithm; Azimuth; Image coding; Imaging; Low earth orbit satellites; Synthetic aperture radar; Trajectory; Curved Trajectory Model; GEO SAR; Secondary Range Compression (SRC) algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350963
  • Filename
    6350963