空天防御2024，Vol.7Issue(1)：48-55,8.
基于深度学习的高超声速飞行器运动行为识别
Deep Learning-Based Hypersonic Vehicle Motion Behavior Recognition
林照晨 1张欣然 1刘紫阳 1贺风华 1欧阳磊2
作者信息
- 1. 哈尔滨工业大学 航天学院,黑龙江 哈尔滨 150001
- 2. 上海机电工程研究所,上海 201109
- 折叠
摘要
Abstract
The hypersonic vehicle has the characteristics of large maneuverability,high speed,long-range and strong threat.It has become a critical weapon development in many countries,and the identification of its motion behavior can significantly support defense and interception.In this study the hypersonic vehicle motion behavior recognition problem under the complex constraints of a no-fly zone was investigated.First,parametric motion equations that can fully describe the behavioral patterns of hypersonic vehicles were developed by analyzing the motion characteristics of hypersonic vehicles,and the trajectory planning problem under the complex constraints was acquired by optimization.Then,the hypersonic vehicle motion behavior recognition algorithm was designed based on deep learning.Finally,simulation experimental results were achieved and analyzed,presenting the effectiveness and generalization ability of the proposed algorithm.关键词
高超声速飞行器/飞行约束条件/运动行为识别/航迹规划/深度学习Key words
hypersonic vehicle/flight constraints/motion behavior recognition/trajectory planning/deep learning分类
航空航天引用本文复制引用
林照晨,张欣然,刘紫阳,贺风华,欧阳磊..基于深度学习的高超声速飞行器运动行为识别[J].空天防御,2024,7(1):48-55,8.
