Trajectory prediction in pipeline form for intercepting hypersonic gliding vehicles based on LSTM

作     者：Lihan SUN Baoqing YANG Jie MA Lihan SUN;Baoqing YANG;Jie MA

作者机构：Control and Simulation CenterHarbin Institute of TechnologyHarbin 150040China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2023年第36卷第5期

页      面：421-433页

核心收录：

学科分类：08[工学] 0826[工学-兵器科学与技术] 082602[工学-兵器发射理论与技术] 0825[工学-航空宇航科学与技术] 

基　　金：co-supported by the National Natural Science Foundation of China(No.61427809). 

主　　题：Hypersonic glide vehicles Long-short time memory Near space Skip glide Trajectory prediction 

摘      要：The interception problem of Hypersonic Gliding Vehicles(HGVs)has been an important aspect of missile defense systems.In order to provide interceptors with accurate information of target trajectory,a model based on an improved Long Short-Time Memory(LSTM)network for trajectory prediction pipeline is proposed for the interception of a skip gliding hypersonic target.Firstly,for trajectory prediction required by intercepting guidance laws,the altitude,velocity and velocity direction of the target are formulated in the form of analytic functions,consisting of linear decay terms and amplitude decay sinusoidal terms.Then,the dynamic characteristics of the model parameters are analyzed,and the target trajectory prediction pipeline is proposed with the prediction error considered.Finally,an improved LSTM network is designed to estimate parameters in a dynamically-updated manner,and estimation results are used for the calculation of the final trajectory prediction pipeline.The proposed prediction algorithm provides information on the velocity vector for midcourse guidance with the effect of prediction errors on interception taken into account.Simulation is conducted and the results show the high accuracy of the algorithm in HGVs’trajectory prediction which is conducive to increasing the interception success rate.