NSHV trajectory prediction algorithm based on aerodynamic acceleration EMD decomposition  

作　　者：LI Fan XIONG Jiajun LAN Xuhui BI Hongkui CHEN Xin 

机构地区：[1]Air Force Early Warning Academy,Wuhan 430019,China [2]Unit 95980 of the PLA,Xiangyang 441000,China

出　　处：《Journal of Systems Engineering and Electronics》2021年第1期103-117,共15页系统工程与电子技术（英文版）

基　　金：supported by the National High-Tech R&D Program of China(2015AA7056045;2015AA8017032P);the Postgraduate Funding Project(JW2018A039)。

摘　　要：Aiming at the problem of gliding near space hypersonic vehicle(NSHV)trajectory prediction,a trajectory prediction method based on aerodynamic acceleration empirical mode decomposition(EMD)is proposed.The method analyzes the motion characteristics of the skipping gliding NSHV and verifies that the aerodynamic acceleration of the target has a relatively stable rule.On this basis,EMD is used to extract the trend of aerodynamic acceleration into multiple sub-items,and aggregate sub-items with similar attributes.Then,a prior basis function is set according to the aerodynamic acceleration stability rule,and the aggregated data are fitted by the basis function to predict its future state.After that,the prediction data of the aerodynamic acceleration are used to drive the system to predict the target trajectory.Finally,experiments verify the effectiveness of the method.In addition,the distribution of prediction errors in space is discussed,and the reasons are analyzed.

关 键 词：hypersonic vehicle trajectory prediction empirical mode decomposition(EMD) aerodynamic acceleration 

分 类 号：V211[航空宇航科学与技术—航空宇航推进理论与工程] V411