• DocumentCode
    2182954
  • Title

    Particle flow for nonlinear filters

  • Author

    Daum, Fred ; Huang, Jim

  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    5920
  • Lastpage
    5923
  • Abstract
    We have solved the well known and important problem of particle degeneracy for particle filters. Our filter is roughly seven orders of magnitude faster than standard particle filters for the same estimation accuracy. The new filter is four orders of magnitude faster per particle, and it requires roughly three orders of magnitude fewer particles to achieve the same accuracy as a standard particle filter. Typically we beat the EKF or UKF accuracy by approximately two orders of magnitude for difficult nonlinear problems.
  • Keywords
    nonlinear filters; particle filtering (numerical methods); EKF; UKF; nonlinear filter; particle flow; standard particle filter; Accuracy; Approximation methods; Computational complexity; Equations; Filtering theory; Nonlinear filters; Particle filters; estimation; extended Kalman filter; nonlinear filter; particle filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947709
  • Filename
    5947709