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Nonlinear Kalman filtering in the presence of additive noise
Author(s): Tomasz Kraszewski; Grzegorz Czopik
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Paper Abstract

Each modern navigation or localization system designed for ground, water or air objects should provide information on the estimated parameters continuously and as accurately as possible. The implementation of such a process requires the application to operate on non-linear transformations. The defined expectations necessitate the use of nonlinear filtering elements with particular emphasis on the extended Kalman filter. The article presents the simulation research elements of this filter type in the aspect of the possibility of its practical implementation. In the initial phase of the study the conclusion was based on nonlinear one-dimensional model. The possibility of improving the precision of the output through the use of unscented Kalman filters was also analyzed.

Paper Details

Date Published: 20 April 2017
PDF: 8 pages
Proc. SPIE 10418, XI Conference on Reconnaissance and Electronic Warfare Systems, 104180N (20 April 2017); doi: 10.1117/12.2269355
Show Author Affiliations
Tomasz Kraszewski, Military Univ. of Technology (Poland)
Grzegorz Czopik, Military Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10418:
XI Conference on Reconnaissance and Electronic Warfare Systems
Jerzy Lopatka, Editor(s)

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