• DocumentCode
    3538263
  • Title

    Improved auxiliary and Unscented Particle Filter variants

  • Author

    Charalampidis, Alexandros C. ; Papavassilopoulos, George P.

  • Author_Institution
    Swiss Fed. Inst. of Tech. in Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    7040
  • Lastpage
    7046
  • Abstract
    This paper proposes some modifications to the Auxiliary Particle Filter and the Unscented Particle Filter. For the APF, based on some error bound considerations it is suggested that the auxiliary weights are taken into account not proportionally but nonlinearly. An improved way to compensate for the auxiliary weights after the resampling is also proposed. For the UPF, a method is introduced to compute the covariance matrices of the particles not using the UKF equations for each particle separately, but so as to optimize the characteristics of the total distribution. The application of the modified filters to an example shows that the proposed changes lead to performance increase.
  • Keywords
    Kalman filters; covariance matrices; APF; UKF equations; auxiliary particle filter; covariance matrices; unscented particle filter; Approximation methods; Covariance matrices; Equations; Kalman filters; Noise; Particle filters; Probability density function; Auxiliary Particle Filter; Nonlinear filters; Numerical methods; Particle filtering; Resampling; State estimation; Unscented Particle Filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6761005
  • Filename
    6761005