• DocumentCode
    1255156
  • Title

    Real-time implementation of mixture particle filter for 3D RISS/GPS integrated navigation solution

  • Author

    Atia, Mohamed M. ; Georgy, Jacques ; Korenberg, M.J. ; Noureldin, Aboelmagd

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´s Univ., Kingston, ON, Canada
  • Volume
    46
  • Issue
    15
  • fYear
    2010
  • Firstpage
    1083
  • Lastpage
    1084
  • Abstract
    An optimised real-time realisation of a mixture particle filter (PF) integrated 3D navigation system for land vehicles based on Global Positioning System (GPS) and Reduced Inertial Sensors System (RISS) is introduced. The PF is a nonlinear filter that can handle errors and uncertainties. Although a mixture PF decreases the number of particles compared to a sampling/importance resampling (SIR) PF, the implementation on embedded systems needs further optimisation to run at higher rates. Introduced is an optimised real-time implementation of a mixture PF on a 600 MHz ARM processor. The optimisation is based on fast median-cut clustering to reduce the complexity of search in the weighting step. The proposed real-time system was tested on a real mobile robot trajectory, showing fast and accurate performance.
  • Keywords
    Global Positioning System; embedded systems; inertial navigation; nonlinear filters; particle filtering (numerical methods); GPS; RISS; embedded system; fast median-cut clustering; global positioning system; integrated 3D navigation system; mixture particle filter; nonlinear filter; real-time implementation; reduced inertial sensors system; sampling-importance resampling PF;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.1633
  • Filename
    5521387