• DocumentCode
    674873
  • Title

    General multi-object filtering and association measure

  • Author

    Houssineau, Jeremie ; Del Moral, Pierre ; Clark, Daniel E.

  • Author_Institution
    Heriot-Watt Univ., Edinburgh, UK
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    This short paper focuses on the structure of the data association problem and details a solution based on the introduction of distinguishability in the representation of a given stochastic population. This approach allows for the derivation of general filtering equations for independent stochastic populations. Based on these general equations, the concept of association measure is defined recursively.
  • Keywords
    filtering theory; signal representation; stochastic processes; dat association measure; general filtering equation; general multiobject filtering; independent stochastic population; Approximation methods; Equations; Extraterrestrial measurements; Mathematical model; Sociology; Statistics; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
  • Conference_Location
    St. Martin
  • Print_ISBN
    978-1-4673-3144-9
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2013.6714000
  • Filename
    6714000