• DocumentCode
    487266
  • Title

    A Joint Probabilistic Data Association Smoothing Algorithm for Multitarget Tracking

  • Author

    Mahalanabis, A.K. ; Zhou, Bin

  • Author_Institution
    Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, (814)-865-6452
  • fYear
    1988
  • fDate
    15-17 June 1988
  • Firstpage
    430
  • Lastpage
    435
  • Abstract
    This paper is concerned with the development of a joint probabilistic data association based fixed-lag smoothing algorithm for the recursive tracking of multiple targets in cluttered environment. The improvement in accuracy of track estimation achieved by introducing a time lag of one or two sampling periods for a radar tracking problem are also demonstrated by using simulation experiment.
  • Keywords
    Clutter; Delay estimation; Filtering algorithms; Filters; Noise measurement; Radar tracking; Sampling methods; Smoothing methods; Target tracking; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1988
  • Conference_Location
    Atlanta, Ga, USA
  • Type

    conf

  • Filename
    4789758
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=487266