Effective Detection of Strong Maneuvers of Object in Noisy Measurements Conditions.

In this paper coordinate measurements of the object, which trajectory includes strong maneuvers, are used as input data.Strong maneuvers described here as fast turns of the object in sharp angles.Measurement data are very noisy, and standard filtration methods (Kalman filter) don't give satisfactory results.In this paper an improved filtration method that is capable to detect strong maneuvers effectively was implemented.The filtration algorithm was applied to multirotor UAV's tracking task.