• DocumentCode
    1003498
  • Title

    Comments on "Gaussian particle filtering"

  • Author

    Wu, Yuanxin ; Xiaoping Hu ; Hu, Xiaoping ; Meiping Wu

  • Author_Institution
    Dept. of Autom. Control, Nat. Univ. of Defense Technol., Hunan, China
  • Volume
    53
  • Issue
    8
  • fYear
    2005
  • Firstpage
    3350
  • Lastpage
    3351
  • Abstract
    With the Gaussian assumption, the above paper proposed an optimal Gaussian filer under the particle filtering framework. This comment presents a different perspective from the standpoint of the conventional Gaussian filters. In this respect, the Gaussian particle filter actually extends the conventional Gaussian filter using Monte Carlo integration and the Bayesian update rule. Hopefully, the use of quasi-Monte Carlo integration in place of Monte Carlo integration will improve the particle filtering.
  • Keywords
    Bayes methods; Gaussian distribution; filtering theory; integration; Bayesian update rule; Gaussian particle filtering; optimal Gaussian filter; quasi-Monte Carlo integration; Bayesian methods; Filtering; Gaussian distribution; Gaussian processes; Kalman filters; Monte Carlo methods; Multidimensional systems; Particle filters; Probability density function; State estimation; Bayesian solution; Gaussian filter; Kalman; Monte Carlo integration; particle filtering; quasi-Monte Carlo integration;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2005.851187
  • Filename
    1468528