• DocumentCode
    3025870
  • Title

    A refined three-step focusing algorithm based on spatial variation characteristic of spaceborne sliding spotlight SAR

  • Author

    Wei-jie Wang ; Chun-sheng Li ; Peng-bo Wang ; Jian Zhou ; Wei Yang ; Jie Chen

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    927
  • Lastpage
    929
  • Abstract
    This paper deals with the problem of azimuth imaging worsening when three-step focusing algorithm fulfills imaging requirements of sliding spotlight SAR with wide azimuth swath. This is caused by spaceborne sliding spotlight SAR spatial variation characteristic: single point target´s relatively large range cell migration and azimuth point targets´ different Doppler experiences at different azimuth locations. To solve this problem phase error introduced by the equivalent strabismus model is compensated and the reference Doppler rate in the first step of TSFA is modified. A comparison of the imaging results to one azimuth 15km swath scene between refined TSFA and original TSFA is exhibited through simulations. The results prove that refined TSFA is able to get consistent good azimuth imaging quality of wide swath scene.
  • Keywords
    Doppler radar; error compensation; focusing; natural scenes; radar imaging; spaceborne radar; synthetic aperture radar; TSFA; azimuth imaging quality; azimuth location; azimuth point target; azimuth swath; equivalent strabismus model; imaging requirement; phase error compensation; range cell migration; reference Doppler rate; spaceborne sliding spotlight SAR; spatial variation characteristic; swath scene; three step focusing algorithm; Azimuth; Doppler effect; Focusing; Mathematical model; Satellites; Synthetic aperture radar; Synthetic aperture radar (SAR); curve fitting; sliding spotlight SAR; spatial variation characteristic; three-step focusing algorithm(TSFA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721312
  • Filename
    6721312