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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