Effective Detection of Real Trajectories of Highly Maneuverable UAVs Under Strong Noise Conditions

In this paper, we present new an improved filtration method that is capable to detect the real trajectory of highly maneuverable UAV effectively. Highly maneuverable trajectories described here as fast turns of the object in sharp angles. The filtration algorithm was applied to multirotor UAV's...

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Bibliographic Details
Published in2018 Engineering and Telecommunication (EnT-MIPT) pp. 193 - 196
Main Authors Kalinov, Ivan, Agishev, Ruslan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Drones
DSP
Filtering algorithms
Filtration
Kalman filter
Kalman filters
Radar tracking
Tracking
Trajectory
trajectory analysis
UAV
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DOI10.1109/EnT-MIPT.2018.00050

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Summary:In this paper, we present new an improved filtration method that is capable to detect the real trajectory of highly maneuverable UAV effectively. Highly maneuverable trajectories described here as fast turns of the object in sharp angles. The filtration algorithm was applied to multirotor UAV's tracking task. Coordinate measurements of the object, which trajectory includes high maneuvers, are used as input data. Measurement data was very noisy, and standard filtration methods (Kalman filter) didn't give satisfactory results. Our approach gave a better precision than known algorithms.
DOI:10.1109/EnT-MIPT.2018.00050