The embodiment of the invention relates to the technical field of aerospace, in particular to an intelligent track prediction method based on Transform-LSTM (Long Short Term Memory), and the method comprises the steps: obtaining the information of a multi-sensor track intelligent processing system, and carrying out the preprocessing, association and fusion, and obtaining the original track data; wherein the original track data comprises original latitude and longitude data and original height data; converting the original track data into a unified Cartesian coordinate system, and performing normalization processing on the track data after space coordinate conversion and the original height data by using maximum and minimum normalization functions; inputting the normalized track data and the normalized height data into a Transform network and an LSTM (Long Short Term Memory) network of a pre-constructed track intelligent prediction model respectively, and extracting and learning spatial position features and time sequence features; and finally, an output network of the intelligent track prediction model outputs a track prediction result based on the spatial position features and the time sequence features, so that more accurate track prediction is realized.
本申请的实施例涉及航空航天技术领域,特别涉及一种基于Transformer‑LSTM的航迹智能预测方法,包括:获取多传感器航迹智能处理系统的信息并进行预处理、关联和融合,得到原始航迹数据;其中,原始航迹数据包括原始经纬度数据和原始高度数据;将原始航迹数据转换到统一的笛卡尔坐标系下,并使用最大最小归一化函数分别对空间坐标转换后的航迹数据和原始高度数据进行归一化处理;将归一化后的航迹数据和归一化后的高度数据分别输入至预构建的航迹智能预测模型的Transformer网络和LSTM网络中,进行空间位置特征和时序特征的提取和学习,最终由航迹智能预测模型的输出网络基于空间位置特征和时序特征输出航迹预测结果,从而实现更准确的航迹预测。
Intelligent track prediction method based on Transform-LSTM
基于Transformer-LSTM的航迹智能预测方法
08.04.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | 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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
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