• DocumentCode
    2170782
  • Title

    A mode preserving particle filter

  • Author

    Morelande, Mark R. ; Zhang, Alan M.

  • Author_Institution
    Melbourne Systems Laboratory, Dept. of Electrical and Electronic Engineering, The University of Melbourne, Australia
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3984
  • Lastpage
    3987
  • Abstract
    A new particle filtering technique is proposed which addresses the problem of mode preservation in the approximation of multi-modal posteriors. The key is a resampling step which attempts to distribute samples evenly over the state space. This idea is shown to produce enormous benefits compared to the optimal importance density in a test problem requiring the retention of several modes for an extended period.
  • Keywords
    Approximation methods; Bayesian methods; Indexes; Monte Carlo methods; Robot kinematics; Robot sensing systems; Bayesian estimation; Particle filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague, Czech Republic
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947225
  • Filename
    5947225