• DocumentCode
    2979632
  • Title

    The information extraction algorithm for a traffic detection radar using ISAR principle

  • Author

    Tao, Manyi ; Li, Yong

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    705
  • Lastpage
    708
  • Abstract
    As a wireless sensor, the traffic detection radar (TDR) is recently a new application at civilian areas. The system can provide various types of real-time information about the moving entities day-and-night in all weather conditions. However, the price to realize the accurate information extraction from the echo signals is an efficient mathematic algorithm. In this paper, the date acquisition model of the TDR based on ISAR principle is firstly established. Then, the velocity measurement and length estimation algorithm using the minimum entropy criterion is presented. The experimental results of a prototype radar system are given to demonstrate the validity of the proposed methodology.
  • Keywords
    minimum entropy methods; radar detection; synthetic aperture radar; ISAR principle; echo signals; information extraction algorithm; inverse synthetic aperture radar; length estimation algorithm; minimum entropy criterion; traffic detection radar; velocity measurement; wireless sensor; Data mining; Doppler radar; Entropy; Extraterrestrial measurements; Intelligent sensors; Parameter estimation; Radar applications; Radar detection; Radar measurements; Velocity measurement; Doppler parameter estimation; Information extraction algorithm; Inverse synthetic aperture radar (ISAR); Traffic detection radar (TDR);
  • 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.2009.5374108
  • Filename
    5374108