Online Recognition Method for Target Maneuver in UAV Autonomous Air Combat

Yicong Li, Zhen Yang, Xiaofeng Lv, Jichuan Huang, Yiyang Zhao, Deyun Zhou

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

In unmanned aerial vehicle (UAV) autonomous air combat, target maneuver online recognition is beneficial to predict the tactical intention of the target, which is of great significance to air combat situational awareness and decision-making assistance. However, the target trajectory data acquired by our airborne sensors may contain one or more maneuvers. The existing research methods mainly focus on the recognition of single maneuver trajectory which has been segmented according to maneuver segments or the segmentation of target maneuver trajectory by introducing human experience. The above methods can not meet the requirements of online recognition of the unknown continuous multi-segment maneuvers trajectory in autonomous air combat. In this paper, the online recognition problem of target maneuver is transformed into three classification problems, which are maneuver switch subsequence recognition problem, maneuver switch point localization problem and single maneuver recognition problem. The cascaded classification networks based on Long Short-Term Memory (LSTM) temporal feature extraction is used to map maneuver trajectory to maneuver category sequence. The algorithm proposed in this paper is tested by randomly selecting target trajectories, which can automatically segment the trajectories and recognize the correct categories. The average sequence similarity between the predicted maneuver category sequence and the real maneuver category sequence after segmentation and recognition on the test set is above 0.9. The feasibility and effectiveness of the proposed algorithm are verified.

源语言英语
主期刊名2022 22nd International Conference on Control, Automation and Systems, ICCAS 2022
出版商IEEE Computer Society
32-39
页数8
ISBN(电子版)9788993215243
DOI
出版状态已出版 - 2022
活动22nd International Conference on Control, Automation and Systems, ICCAS 2022 - Busan, 韩国
期限: 27 11月 20221 12月 2022

出版系列

姓名International Conference on Control, Automation and Systems
2022-November
ISSN(印刷版)1598-7833

会议

会议22nd International Conference on Control, Automation and Systems, ICCAS 2022
国家/地区韩国
Busan
时期27/11/221/12/22

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