• DocumentCode
    2278637
  • Title

    A Novel Image Based Multi-Channel SAR-GMTI Algorithm

  • Author

    Liu, Anna ; Chen, Li ; Zhao, Fei ; Kuang, Gangyao

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2011
  • fDate
    10-12 Jan. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel three-channel SAR-GMTI algorithm based on the compressed image rather than the azimuth-uncompressed raw data is proposed, which employs the classical DPCA technique and FrFT. The chirp characteristics of DPCA signal of the moving target in the SAR image domain is investigated for the first time in this paper. The scheme introduce FrFT to detect the moving target and estimate the position, velocity and radial acceleration, which lead to a more overall description on motion parameters than that of the majority of estimation algorithms. The excellent anti-noise ability of FrFT and the ideal clutter cancellation of DPCA technique results in great GMTI performance during a clutter-rich and low SNR environment. The simulation results indicate the efficiency and availability of the novel algorithm.
  • Keywords
    ground penetrating radar; image coding; synthetic aperture radar; SAR image domain; compressed image; multi-channel SAR-GMTI algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), 2011 International Workshop on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-9402-6
  • Type

    conf

  • DOI
    10.1109/M2RSM.2011.5697424
  • Filename
    5697424