UAV signal recognition method based on re-classification and separation of image transmission signal and flight control signal

AnPing Wang; ZhenBin Lv; ZiXuan Yi; HuaMing Shen; JiaPeng Wang; WenBin Lu

doi:10.1117/12.2652359

2 November 2022 UAV signal recognition method based on re-classification and separation of image transmission signal and flight control signal

AnPing Wang, ZhenBin Lv, ZiXuan Yi, HuaMing Shen, JiaPeng Wang, WenBin Lu

Author Affiliations +

Proceedings Volume 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022); 123511E (2022) https://doi.org/10.1117/12.2652359
Event: International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 2022, Nanjing, China

Abstract

The rapid development of the drone industry brings security risks to low-altitude airspace in important places. In order to effectively defense unmanned aerial vehicles (UAV), it is of great significance to develop a system which can identify drone models by radio signal. To identify similar UAVs, a UAV signal recognition method based on re-classification and separation of image transmission signal (ITS) and flight control signal (FCS) is proposed. The OFDM time domain parameters of ITS are extracted for model pre-classification. Then, after extracting the time-frequency features of ITS and FCS respectively, the UAV can be identified with high precision by SVM. The experimental results show that the average accuracy of the four DJI UAVs can reach more than 95% when the signal-to-noise ratio (SNR) is 0dB.

Citation Download Citation

AnPing Wang, ZhenBin Lv, ZiXuan Yi, HuaMing Shen, JiaPeng Wang, and WenBin Lu "UAV signal recognition method based on re-classification and separation of image transmission signal and flight control signal", Proc. SPIE 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 123511E (2 November 2022); https://doi.org/10.1117/12.2652359

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