• DocumentCode
    3424556
  • Title

    A particle filter for track-before-detect

  • Author

    Salmond, D.J. ; Birch, H.

  • Author_Institution
    Defence Evaluation & Res. Agency, Farnborough, UK
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3755
  • Abstract
    A Bayesian track-before-detect particle filter is proposed. The filter provides a sample based approximation to the distribution of the target state directly from pixel array data. The filter also provides a measure of the probability that a target is present
  • Keywords
    Bayes methods; filtering theory; observers; probability; target tracking; Bayesian particle filter; approximation; observers; probability; state estimation; target tracking; track-before-detect problem; Background noise; Bayesian methods; Data mining; Maximum likelihood detection; Particle filters; Particle tracking; Position measurement; Sensor arrays; Target tracking; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.946220
  • Filename
    946220
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3424556