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NSHV trajectory prediction algorithm based on aerodynamic acceleration EMD decomposition 被引量:8

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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.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 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)。
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