Estimation of ballistic object trajectory using non-linear Kalman filtering

Abstract

The paper addresses a problem of ballistic object trajectory estimation on the basis of measurements from a cinetheodolite electro-optical tracking system. The object flight dynamics is modeled using a three degrees of freedom equations of motion. The estimation of object trajectory is performed with the use of an Extended Kalman Filter. 

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Cite this paper

@article{Smagowski2017EstimationOB, title={Estimation of ballistic object trajectory using non-linear Kalman filtering}, author={Piotr Smagowski and Piotr Kaniewski}, journal={2017 18th International Radar Symposium (IRS)}, year={2017}, pages={1-7} }