舰船电子工程2025，Vol.45Issue(3)：61-65,137,6.DOI:10.3969/j.issn.1672-9730.2025.03.013
基于动态模式分解的飞行轨迹预测
Flight Trajectory Prediction Based on Dynamic Mode Decomposition
摘要
Abstract
Accurate flight trajectory prediction is a key initiative to ensure the safety of flight training.Based on the nonlinear correlation characteristics of subject training data,a combined model of HDMD and Ensemble Kalman filter(EnKF)is proposed to predict the flight trajectory iteratively.Firstly,the flight trajectory data are upgraded to high-dimensional space by HDMD algo-rithm,which retains all its characteristics and obtains an approximate linearized dynamic model of the flight trajectory.On this ba-sis,the dynamic model is adjusted by iteratively updating the EnKF.The experimental results show that the model can effectively re-duce the cumulative error and high-dimensional noise on the problem of influencing the subsequent prediction,and effectively im-prove the prediction accuracy.关键词
轨迹预测/非线性系统/动态模式分解/集合卡尔曼滤波Key words
trajectory prediction/nonlinear system/dynamic pattern decomposition/Ensemble Kalman filtering分类
航空航天引用本文复制引用
路晶,白一丹,钟一涛,陈燃..基于动态模式分解的飞行轨迹预测[J].舰船电子工程,2025,45(3):61-65,137,6.基金项目
国家自然科学基金项目"学习型自治数据库系统关键技术研究"(编号:62272066)资助. （编号:62272066）
