• DocumentCode
    1597351
  • Title

    An exponentially weighted probabilistic data association filter

  • Author

    Mayor, Marco A. ; Carroll, Robert

  • Author_Institution
    IBM Corp., Gaithersburg, MD, USA
  • fYear
    1992
  • Firstpage
    1038
  • Abstract
    An exponentially weighted probabilistic data association filter is presented as a method for tracking maneuvering targets in cluttered environments. The algorithm exhibits the capability to track targets that are rapidly maneuvering in low-to-medium clutter densities. Simulation results have shown good tracking performance for target maneuvers on the order of 10 g and false alarm rates between 0 and 0.5
  • Keywords
    filtering and prediction theory; probability; radar clutter; tracking; cluttered environments; exponentially weighted probabilistic data association filter; false alarm rates; maneuvering target tracking; Density measurement; Filters; History; Noise measurement; Nonlinear equations; Personal digital assistants; Radar tracking; Target tracking; Time measurement; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1992., First IEEE Conference on
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-0047-5
  • Type

    conf

  • DOI
    10.1109/CCA.1992.269729
  • Filename
    269729
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1597351