Nonlinear Kalman filtering in the presence of additive noise

Tomasz Kraszewski; Grzegorz Czopik

doi:10.1117/12.2269355

20 April 2017 Nonlinear Kalman filtering in the presence of additive noise

Tomasz Kraszewski, Grzegorz Czopik

Proceedings Volume 10418, XI Conference on Reconnaissance and Electronic Warfare Systems; 104180N (2017) https://doi.org/10.1117/12.2269355
Event: Conference on Reconnaissance and Electronic Warfare Systems, 2016, Oltarzew, Poland

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.

Citation Download Citation

Tomasz Kraszewski and Grzegorz Czopik "Nonlinear Kalman filtering in the presence of additive noise", Proc. SPIE 10418, XI Conference on Reconnaissance and Electronic Warfare Systems, 104180N (20 April 2017); https://doi.org/10.1117/12.2269355

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