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- W4281484865 abstract "In recent years, the air traffic flow has increased exponentially. To ensure flight safety during the flight, it is necessary to monitor and predict the trajectory in real-time, and use the trajectory system to assist the controller to manage and monitor the aircraft. The main research content of this subject includes the trajectory prediction algorithm and its error analysis in trajectory prediction. In this paper, a domestic civil aviation trajectory data is collected as a sample, the geographic information system is used to process the sample data, a flight motion model is established based on the data, and the Kalman filtering algorithm is used to predict the sample data. The final result of the filtered trajectory is the same as the original trajectory., indicating that the Kalman filter is very suitable for trajectory prediction research." @default.
- W4281484865 created "2022-05-26" @default.
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- W4281484865 date "2022-04-15" @default.
- W4281484865 modified "2023-09-26" @default.
- W4281484865 title "Research on the Application of Kalman Filter Algorithm in Aircraft Trajectory Analysis" @default.
- W4281484865 doi "https://doi.org/10.1109/icsp54964.2022.9778746" @default.
- W4281484865 hasPublicationYear "2022" @default.
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