Derivative free filtering using Kalmtool

Enis Bayramoglu (Invited author), Søren Hansen (Invited author), Ole Ravn (Invited author), Niels Kjølstad Poulsen (Invited author)

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    In this paper we present a toolbox enabling easy evaluation and comparison of different filtering algorithms. The toolbox is called Kalmtool 4 and is a set of MATLAB tools for state estimation of nonlinear systems. The toolbox contains functions for extended Kalman filtering as well as for DD1 filter and the DD2 filter. It also contains functions for Unscented Kalman filters as well as several versions of particle filters. The toolbox requires MATLAB version 7, but no additional toolboxes are required.
    Original languageEnglish
    Title of host publicationDerivative free filtering using Kalmtool
    Publication date2010
    ISBN (Print)978-0-9824438-1-1
    Publication statusPublished - 2010
    Event13th International Conference on Information Fusion - Edinburgh, United Kingdom
    Duration: 26 Jul 201029 Jul 2010


    Conference13th International Conference on Information Fusion
    Country/TerritoryUnited Kingdom
    Internet address


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