• DocumentCode
    561705
  • Title

    Ground moving targets detection and relocation in heterogeneous environment for airborne radar based on tri-channel real data

  • Author

    Zhu, S.Q. ; Liao, G.S. ; Tao, H.H.

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    719
  • Lastpage
    722
  • Abstract
    This paper describes an approach for ground moving targets detection and relocation in heterogeneous environment which requires three consecutive operations as follows: Firstly, some deleterious factors correction techniques are adopted before clutter rejection. Secondly, different window selection strategies, aiming at different image coregistration error, are given to form the joint data vector for clutter rejection. Finally, the true target steering vector is derived in the presence of image coregistration error and channel mismatch, based on which the radial velocities of moving targets can be determined. Results of measured data processing are included to verify the robustness of this algorithm.
  • Keywords
    airborne radar; image registration; object detection; radar imaging; airborne radar; channel mismatch; clutter rejection; data processing; factors correction techniques; ground moving targets detection; ground moving targets relocation; heterogeneous environment; image coregistration error; joint data vector; radial velocities; trichannel real data; true target steering vector; window selection strategies; Arrays; Azimuth; Clutter; Doppler effect; Estimation; Radar; Vectors; Airborne radar; Ground Moving Targets Indication (GMTI); Space-Time Adaptive Processing (STAP); Synthetic Aperture Radar (SAR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159642
  • Filename
    6159642