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Conference paper

Derivative free filtering using Kalmtool

In Derivative Free Filtering Using Kalmtool — 2010, pp. 1-6

By Bayramoglu, Enis1,2; Hansen, Søren1,2; Ravn, Ole1,2; Poulsen, Niels Kjølstad3,4

From

Department of Electrical Engineering, Technical University of Denmark1

Automation and Control, Department of Electrical Engineering, Technical University of Denmark2

Department of Informatics and Mathematical Modeling, Technical University of Denmark3

Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark4

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.

Language: English
Publisher: IEEE
Year: 2010
Pages: 1-6
Proceedings: 13th International Conference on Information Fusion
ISBN: 0982443811 and 9780982443811
Types: Conference paper
DOI: 10.1109/ICIF.2010.5712077
ORCIDs: Hansen, Søren , Ravn, Ole and Poulsen, Niels Kjølstad
Keywords

Data models Derivative free filtering Nonlinear systems Equations Estimation Kalman filtering Kalman filters MATLAB Mathematical model Numerical models Simulation Software tools State estimation

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