Flight trajectory prediction of unmanned aerial vehicles (UAVs) is essential for air traffic control. Automatic dependent surveillance-broadcast (ADS-B) has been widely used in civil aviation aircraft. However, effective trajectory prediction mechanisms and sufficient data sources for ADS-B information are still lacking specifically for UAVs. This paper proposes a deep learning-based flight trajectory prediction framework using the neural hierarchical interpolation for time series (N-HITS). This framework includes ADS-B flight trajectory data generation, flight trajectory data processing, and N-HITS prediction neural network. Comparative results with existing methods like Gaussian process regression (GPR) and long short-term memory (LSTM) network indicate that the proposed framework has better generalization ability, prediction accuracy, and stability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Learning-Based Flight Trajectory Prediction Using Time Series Decomposition


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Deng, Yimin (Herausgeber:in) / Liu, Yue (Autor:in) / Sun, Jing (Autor:in) / Dong, Wei (Autor:in) / Zhang, Lele (Autor:in) / Wang, Chunyan (Autor:in) / Deng, Fang (Autor:in)

    Kongress:

    International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024



    Erscheinungsdatum :

    11.03.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Phased Flight Trajectory Prediction with Deep Learning

    Zhang, Kai / Chen, Bowen | ArXiv | 2022

    Freier Zugriff

    Deep Reinforcement Learning based Aggressive Flight Trajectory Tracker

    Shadeed, Omar / Hasanzade, Mehmet / Koyuncu, Emre | AIAA | 2021


    DEEP REINFORCEMENT LEARNING BASED AGGRESSIVE FLIGHT TRAJECTORY TRACKER

    Shadeed, Omar / Hasanzade, Mehmet / Koyuncu, Emre | TIBKAT | 2021


    Deep Learning Based Missile Trajectory Prediction

    Wang, Zijian / Zhang, Jinze / Wei, Wei | IEEE | 2020


    Trajectory Flight-Time Prediction based on Machine Learning for Unmanned Traffic Management

    Conte, Claudia / Accardo, Domenico / Rufino, Giancarlo | IEEE | 2020