• DocumentCode
    2023671
  • Title

    Benchmarking Nonlinear Filters

  • Author

    Sirola, Niilo ; Ali-Löytty, Simo ; Piché, Robert

  • Author_Institution
    Institute of Mathematics, Tampere University of Technology, Finland
  • fYear
    2006
  • fDate
    13-15 Sept. 2006
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    Algorithm developers need relevant and practical criteria to evaluate and compare the performance of different discrete-time filters or filter variants. This paper discusses some pit-falls in different approaches and proposes a combination of criteria on which to base comparisons. A comparison of eight filters for a class of hybrid personal positioning problems is presented as an example.
  • Keywords
    Bayesian methods; Distributed computing; Filtering; Noise measurement; Nonlinear filters; Particle filters; Position measurement; Probability distribution; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nonlinear Statistical Signal Processing Workshop, 2006 IEEE
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-1-4244-0581-7
  • Electronic_ISBN
    978-1-4244-0581-7
  • Type

    conf

  • DOI
    10.1109/NSSPW.2006.4378812
  • Filename
    4378812
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2023671