The invention provides an unmanned aerial vehicle flight path prediction method based on flight mode recognition, and the method comprises the steps: building a flight path prediction system of an unmanned aerial vehicle for different flight states, constructing the motion features of the unmanned aerial vehicle through a principal component analysis method, and recognizing the flight state of the unmanned aerial vehicle through an improved support vector machine model. And according to different flight states, respectively establishing prediction models to predict the flight path of the unmanned aerial vehicle. According to the invention, the improved support vector machine model based on the binary tree is adopted to identify different flight states of the unmanned aerial vehicle; and a BP neural network is adopted to establish flight path prediction models in different flight states. The method not only considers the historical flight path of the unmanned aerial vehicle, but also considers the current flight state of the unmanned aerial vehicle, solves the engineering problem of insufficient prediction accuracy caused by lack of consideration of the current flight state of the unmanned aerial vehicle in unmanned aerial vehicle flight path prediction, and provides a more accurate prediction method in the field of unmanned aerial vehicle flight path prediction. And the development of positioning and navigation technologies of autonomous aircrafts in the future aviation field is facilitated.

    本发明提供了一种飞行模式识别进行无人机航迹预测方法,针对不同飞行状态建立无人机的航迹预测体系,通过主成分分析法构建无人机的运动特征,利用改进的支持向量机模型识别无人机的飞行状态,根据不同飞行状态分别建立预测模型预测无人机的飞行航迹。本发明采用基于二叉树改进的支持向量机模型对无人机不同的飞行状态进行识别;采用BP神经网络建立不同飞行状态的航迹预测模型。不仅考虑了无人机的历史航迹,还考虑了无人机当前的飞行状态,解决了无人机航迹预测对无人机当前飞行状态考虑缺失而导致的预测准确率不足的工程问题,提供了无人机航迹预测领域更为准确的预测方法,有助于未来航空领域自主飞行器的定位及导航技术发展。


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    Title :

    Method for predicting flight path of unmanned aerial vehicle through flight mode recognition


    Additional title:

    一种飞行模式识别进行无人机航迹预测方法


    Contributors:
    ZHANG ANLI (author) / SHI ZHUOYONG (author) / JIA YETAO (author) / CHEN KUIFENG (author) / ZHANG QINYANG (author)

    Publication date :

    2024-03-01


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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