• DocumentCode
    2156599
  • Title

    Target tracking - a Bayesian perspective

  • Author

    Challa, Subhash ; Evans, Robin J. ; Musicki, Darko

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    437
  • Abstract
    Target tracking algorithms are often thought of as a conglomeration of a number of unrelated techniques and tricks. However, they all have firm foundations in recursive Bayesian logic. In this paper, we review the Bayesian underpinnings of several target tracking algorithms and highlight the assumptions under which appropriate Bayesian recursions are derived and used.
  • Keywords
    Bayes methods; clutter; state estimation; target tracking; Bayesian recursions; recursive Bayesian logic; target tracking algorithms; Bayesian methods; Kinematics; Logic; Noise measurement; Power measurement; Random variables; Signal processing; State estimation; Target tracking; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
  • Print_ISBN
    0-7803-7503-3
  • Type

    conf

  • DOI
    10.1109/ICDSP.2002.1027913
  • Filename
    1027913
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2156599