• DocumentCode
    2372379
  • Title

    Multi-target tracking using passive Doppler measurements

  • Author

    Guldogan, Mehmet Burak ; Orguner, Umut ; Gustafsson, Fredrik

  • Author_Institution
    Elektrik-Elektron. Muhendisligi, Turgut Ozal Univ., Ankara, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using Doppler-only measurements in a passive sensor network. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter successfully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.
  • Keywords
    Doppler radar; Doppler shift; Gaussian processes; passive networks; probability; target tracking; Doppler shift measurements; GM-PHD filter; Gaussian mixture probability hypothesis density filter; mixture Doppler-only measurements; multistatic Doppler variances; multitarget tracking; passive Doppler measurements; passive sensor network; Abstracts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531165
  • Filename
    6531165