• DocumentCode
    497529
  • Title

    DSm theory for fusing highly conflicting ESM reports

  • Author

    Valin, Pierre ; Djiknavorian, Pascal ; Grenier, Dominic

  • Author_Institution
    C2 Decision Support Syst. Sect., Defence R&D Canada, Valcartier, QC, Canada
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    1211
  • Lastpage
    1217
  • Abstract
    Electronic support measures consist of passive receivers which can identify emitters coming from a small bearing angle, which, in turn, can be related to platforms that belong to 3 classes: either friend, neutral, or hostile. Decision makers prefer results presented in STANAG 1241 allegiance form, which adds 2 new classes: assumed friend, and suspect. Dezert-Smarandache (DSm) theory is particularly suited to this problem, since it allows for intersections between the original 3 classes. Results are presented showing that the theory can be successfully applied to the problem of associating ESM reports to established tracks, and its results identify when miss-associations have occurred and to what extent. Results are also compared to Dempster-Shafer theory which can only reason on the original 3 classes. Thus decision makers are offered STANAG 1241 allegiance results in a timely manner, with quick allegiance change when appropriate and stability in allegiance declaration otherwise.
  • Keywords
    inference mechanisms; sensor fusion; DSm theory; Dempster-Shafer theory; Dezert-Smarandache theory; ESM report; STANAG 1241 allegiance form; bearing angle; decision maker; electronic support measure; passive receiver; report fusion; Bayesian methods; Computerized monitoring; Decision support systems; Force sensors; Lamps; Reconnaissance; Research and development; Sensor fusion; Stability; Target tracking; Dempster-Shafer; Dezert-Smarandache; Electronic Support Measures; allegiance; fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203620