• DocumentCode
    335368
  • Title

    Scoring algorithms for track-to-track fusion problems

  • Author

    Lobbia, Robert N. ; Stubberud, Stephen C. ; Weissman, Adam D.

  • Author_Institution
    Orincon Corp., San Diego, CA, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    1319
  • Abstract
    The authors extend some earlier track fusion algorithms to embed within them them an appropriate track scoring algorithm that accounts for track revisits or updates to the fusion node. The scoring approach considered tracks both fusion scores and singleton scores. Using the results in Belkin et al. (1993), the authors are able to obtain a computable singleton score that does not exhibit numerical instabilities. The concept of relative scoring is a key ingredient in this derivation (the ability to isolate measurement quantities outside of the scoring technique). The authors then illustrate the approach in a few test cases.
  • Keywords
    correlation methods; covariance analysis; sensor fusion; tracking; fusion node; fusion scores; relative scoring; scoring algorithms; singleton scores; track revisits; track-to-track fusion problems; Decorrelation; Equations; Fuses; Linearity; Noise measurement; Performance evaluation; Target tracking; Testing; Time measurement; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.752273
  • Filename
    752273