• DocumentCode
    1934456
  • Title

    Continuous-discrete filtering using the Dirac-Feynman algorithm

  • Author

    Balaji, Bhashyam ; McDonald, Mike

  • Author_Institution
    Radar Syst. Sect., Defence R&D Canada, Ottawa, ON
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The continuous-discrete filtering problem requires the solution of a partial differential equation known as the Fokker-Planck-Kolmogorov forward equation(FPKfe). In this paper, the path integral formula for the fundamental solution of the FPKfe is presented for the case the signal model noise is additive. The simplest approximation of the path integral formula leads to the Dirac-Feynman algorithm for continuous-discrete filtering. The practical utility of the proposed Dirac-Feynman algorithm is demonstrated in a fully nonlinear filtering problem where it is shown that it leads to highly accurate and reliable results. The Feynman path integral approach to nonlinear filtering has several advantages, especially in terms of ease in practical implementation.
  • Keywords
    Fokker-Planck equation; filtering theory; nonlinear filters; partial differential equations; Dirac-Feynman algorithm; Fokker-Planck-Kolmogorov forward equation; additive signal noise model; continuous-discrete filtering; nonlinear filtering problem; partial differential equation; path integral formula; Additive noise; Filtering algorithms; Filtering theory; Integral equations; Nonlinear equations; Nonlinear filters; Partial differential equations; Physics; Probability distribution; Quantum mechanics; Feynman Path Integral; Fokker-Planck Equation; Nonlinear Filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4721047
  • Filename
    4721047