• DocumentCode
    2983311
  • Title

    Airship radar imaging for stationary and moving targets based on thinned array and code division signal

  • Author

    Ying-ni, Hou ; Dao-jing, Li ; Wen, Hong

  • Author_Institution
    Nat. Key Lab. of Microwave Imaging Technol., CAS, Beijing, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    622
  • Lastpage
    625
  • Abstract
    In order to reduce the complexity of airship real aperture radar, the stationary scene and moving targets imaging method is proposed based on thinned array and code division signal. It can obtain the phase center that equivalent to the full array, thus avoiding the thinned array high sidelobe and high integrated sidelobe ratio. For the stationary targets, it images directly. For the moving targets, it first adopts traditional MTI to achieve clutter suppression, performs pulse compression and pulse accumulation, and achieves moving targets detection and velocity estimation based on the noncoherent integration of all phase centers data. Then choose the Doppler channel data that the moving target exists in to accomplish moving target imaging. The simulation results indicate the validity of the method proposed in the paper.
  • Keywords
    Doppler radar; airborne radar; pulse compression; radar clutter; radar imaging; Doppler channel data; airship radar imaging; clutter suppression; code division signal; moving target indicator; phase center; pulse accumulation; pulse compression; sidelobe ratio; stationary scene; thinned array; velocity estimation; Apertures; Content addressable storage; High-resolution imaging; Laboratories; Layout; Microwave imaging; Microwave technology; Phased arrays; Pulse compression methods; Radar imaging; Code division signal; Radar imaging; Stratosphere airship; Thinned array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374279
  • Filename
    5374279