航空兵器2024，Vol.31Issue(6)：57-63,7.DOI:10.12132/ISSN.1673-5048.2024.0100
基于LSTM神经网络的来袭导弹制导律识别方法研究
Research on Guidance Law Recognition Method of Incoming Missile Based on LSTM Neural Network
袁则华 1崔颢 2徐琰珂 1王龙 1周桃品1
作者信息
- 1. 中国空空导弹研究院,河南洛阳 471009
- 2. 中国空空导弹研究院,河南洛阳 471009||空基信息感知与融合全国重点实验室,河南洛阳 471009
- 折叠
摘要
Abstract
In the three-body confrontation scenario,the accurate recognition of the guidance law of incoming mis-sile can provide strong support for its trajectory prediction.In view of the semi-cooperative characteristics of incoming missile movement and target movement in this scenario,different target maneuvers are added when collecting missile trajectory data to make the data more realistic.A guidance law recognition method based on long short-term memory(LSTM)neural network is proposed to identify the type of guidance law for incoming missile.A LSTM neural network with attention mechanism is designed to improve the adaptive ability and generalization ability of the network model,and the recognition accuracy and precision are greatly improved.The experimental results show that this method has high recognition accuracy and short recognition time,which can meet the needs of on-board use.关键词
神经网络/制导律识别/LSTM/三体对抗/注意力机制Key words
neural network/guidance law identification/LSTM/three-body confrontation/attention mechanism分类
军事科技引用本文复制引用
袁则华,崔颢,徐琰珂,王龙,周桃品..基于LSTM神经网络的来袭导弹制导律识别方法研究[J].航空兵器,2024,31(6):57-63,7.
