• DocumentCode
    714945
  • Title

    A location method for airborne bistatic SAR based on neighborhood recursion

  • Author

    Xuqi Zhong ; Junjie Wu ; Zhongyu Li ; Zhichao Sun ; Yulin Huang ; Jianyu Yang ; Haiguang Yang

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Firstpage
    1193
  • Lastpage
    1197
  • Abstract
    Target location is very important for Synthetic Aperture Radar (SAR) real applications. In this paper, a method based on neighborhood recursion has been developed to determine the target location in a bistatic SAR (BSAR) image. Firstly, the estimates of the Doppler Centroid and bistatic range sum (BRS) of the reference target are produced by utilizing the characteristics of BSAR data collection geometry. Then the location of the reference target is obtained. After that, the locations of all targets in a BSAR image can be recursively calculated by using the nearby pixels´ location relationship. This method is more efficient compared with the traditional methods in which the targets in the whole image are calculated by repeating the same steps as for the reference target. The simulation results validate the efficacy and efficiency of this BSAR location method.
  • Keywords
    Doppler radar; airborne radar; radar imaging; radar tracking; recursive estimation; synthetic aperture radar; BSAR data collection geometry; Doppler Centroid; airborne bistatic SAR image; bistatic range sum; nearby pixel location relationship; neighborhood recursion; recursive estimation; synthetic aperture radar; target location determination method; Azimuth; Doppler effect; Estimation; Mathematical model; Receivers; Synthetic aperture radar; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131175
  • Filename
    7131175