• DocumentCode
    2024636
  • Title

    State-of-the-Art for the Marginalized Particle Filter

  • Author

    Gustafsson, Fredrik ; Schön, Thomas B. ; Karlsson, Rickard ; Nordlund, Per-Johan

  • Author_Institution
    Division of Automatic Control, Department of Electrical Engineering, Linköping University, Sweden, SE-581 83 Linköping, Sweden. fredrik@isy.liu.se
  • fYear
    2006
  • fDate
    13-15 Sept. 2006
  • Firstpage
    172
  • Lastpage
    174
  • Abstract
    The marginalized particle filter is a powerful combination of the particle filter and the Kalman filter, which can be used when the underlying model contains a linear sub-structure subject to Gaussian noise. This paper surveys state of the art for theory and practice.
  • Keywords
    Automatic control; Distributed computing; Filtering; Gaussian noise; Integrated circuit modeling; Particle filters; Reactive power; Simultaneous localization and mapping; Tin; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nonlinear Statistical Signal Processing Workshop, 2006 IEEE
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-1-4244-0581-7
  • Electronic_ISBN
    978-1-4244-0581-7
  • Type

    conf

  • DOI
    10.1109/NSSPW.2006.4378847
  • Filename
    4378847
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2024636