A Low-Altitude Small Target Radar Recognition Algorithm Based on Micro-Doppler Features and Vision Transformer Network

Guangmao Chen*, Haibo Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In low-altitude airspace surveillance scenarios, accurately distinguishing between birds and unmanned aerial vehicles (UAVs) is of vital importance. However, the high similarity in flight altitude and speed between birds and UAVs makes it extremely difficult to distinguish between these two types of targets. To enhance radar recognition performance for both UAVs and birds, this paper proposes a low-altitude target recognition algorithm that combines micro-Doppler features with a Vision Transformer network (ViT) under a staring radar system. Verified with real-measured data, the recognition accuracy for three types of UAVs and birds reaches 94%.

源语言英语
主期刊名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331515669
DOI
出版状态已出版 - 2024
活动2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国
期限: 22 11月 202424 11月 2024

出版系列

姓名IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区中国
Zhuhai
时期22/11/2424/11/24

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