• DocumentCode
    2417220
  • Title

    Maximum likelihood approach for tracking multiple mobile agents with a moving Doppler radar system

  • Author

    Herath, Sanvidha C K ; Pathirana, Pubudu N.

  • Author_Institution
    Networked Sensing & Control Lab., Deakin Univ., Geelong, VIC, Australia
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    193
  • Lastpage
    198
  • Abstract
    Tracking mobile agents with a Doppler radar system mounted on a moving vehicle is considered in this paper. Dopplers modulated from mobile agents on the single frequency continuous wave signals are analyzed in order to estimate the positions and velocities of multiple mobile agents. The measurement noise is assumed to be Gaussian and the maximum likelihood estimation is utilized to enhance the localization accuracy.
  • Keywords
    CW radar; Doppler radar; Gaussian noise; maximum likelihood estimation; mobile agents; radar tracking; traffic engineering computing; video surveillance; Doppler radar; Gaussian noise; frequency continuous wave signals; maximum likelihood approach; mobile agents tracking; Doppler effect; Doppler radar; Maximum likelihood estimation; Mobile agents; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4244-7174-4
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2010.5706763
  • Filename
    5706763