• DocumentCode
    1547181
  • Title

    New data association method for automotive radar tracking

  • Author

    Lee, M.-S. ; Kim, Y.-H.

  • Author_Institution
    Dept. of Mechatronics, Kwangju Inst. of Sci. & Technol., South Korea
  • Volume
    148
  • Issue
    5
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    297
  • Lastpage
    301
  • Abstract
    An improved multi-target data association method for automotive radar is presented. The new approach is formulated using the association probabilities of the joint probabilistic data association (JPDA) filter. An optimal track-to-measurement data association is accomplished using the decision logic algorithm. Simulation results in heavily cluttered conditions show that the tracking accuracy of the proposed method is about 19% better than that of the JPDA filter
  • Keywords
    filtering theory; probability; radar clutter; radar tracking; road vehicle radar; target tracking; tracking filters; JPDA filter; association probabilities; automotive radar tracking; computer simulation results; decision logic algorithm; joint probabilistic data association filter; multi-target data association method; optimal track-to-measurement data association; radar clutter; tracking accuracy;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:20010472
  • Filename
    963394
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1547181