Improved RefineDet Network Assisted by Time Frequency Characteristics for UAV Signal Recognition

Yuan Zhao, Jian Zhang, Meng Zhu, Chengkai Tang, Zesheng Dan, Lejing Ma

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The unmanned aerial vehicle (UAV) signal detection method based on time-frequency spectrum has the problems of low success rate and difficulty in detecting small target signals in time-frequency spectrum. Combining theoretical knowledge related to deep learning, an intelligent perception and recognition method based on UAV telemetry command signals is proposed. Firstly, the linear STFT time-frequency analysis method and nonlinear SPWVD time-frequency analysis method are combined to balance the time-frequency resolution and avoid the cross terms. An improved RefineDet network with an Intersection over Union is proposed to solve the problem of mismatch between prediction box and classification. Finally, an UAV identification platform is built. Experiment results demonstrate that the proposed network can achieve high recognition accuracy in multi-objective UAV scenarios.

源语言英语
主期刊名Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350316728
DOI
出版状态已出版 - 2023
活动2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 - Zhengzhou, Henan, 中国
期限: 14 11月 202317 11月 2023

出版系列

姓名Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

会议

会议2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
国家/地区中国
Zhengzhou, Henan
时期14/11/2317/11/23

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