• DocumentCode
    2076620
  • Title

    Probability density update for a distributed system based on unnormalized local densities

  • Author

    McCullough, Claire L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
  • fYear
    1989
  • fDate
    26-28 Mar 1989
  • Firstpage
    38
  • Lastpage
    41
  • Abstract
    A method for producing a normalized probability density for a global system state constructed from the unnormalized densities of the local models is given and proved. The local densities are required to be solutions to Kushner´s equation, which is unsolvable in the general case. The formulation uses unnormalized local densities, which are solutions of the more tractable Zakai equation, and yet produces the same normalized density for the global system as the previous method. It is applicable to a much wider variety of problems for which the Zakai equation is solvable and Kushner´s equation is not
  • Keywords
    computational complexity; estimation theory; probability; Kushner´s equation; Zakai equation; distributed system; local densities; normalized probability density; unnormalized local densities; Filtering; History; Noise measurement; Nonlinear equations; Parallel processing; Performance evaluation; State estimation; Statistical distributions; Stochastic systems; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
  • Conference_Location
    Tallahassee, FL
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-1933-3
  • Type

    conf

  • DOI
    10.1109/SSST.1989.72430
  • Filename
    72430