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A new approach for filtering nonlinear systems

Julier, SJ; Uhlmann, JK; Durrant-Whyte, HF; (1995) A new approach for filtering nonlinear systems. In: (pp. pp. 1628-1632). American Automatic Control Council: Evanston, US.

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In this paper we describe a new recursive linear estimator for filtering systems with nonlinear process and observation models. This method uses a new parameterisation of the mean and covariance which can be transformed directly by the system equations to give predictions of the transformed mean and covariance. We show that this technique is more accurate and far easier to implement than an extended Kalman filter. Specifically, we present empirical results for the application of the new filter to the highly nonlinear kinematics of maneuvering vehicles.

Type: Proceedings paper
Title: A new approach for filtering nonlinear systems
ISBN: 0780324455
DOI: 10.1109/ACC.1995.529783
Publisher version: http://dx.doi.org/10.1109/ACC.1995.529783
Additional information: Conference proceedings distributed through the IEEE, Piscataway, US
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/135535
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