Research and Experiments on Anti-UAV Technology

Unregistered flight of Unmanned Aerial Vehicle (UAV) has been a severe challenge to the security of low-altitude airspace. Illegal elements may use UAV to carry dangerous goods or steal privacy. More and more conferences and large-scale activities pay attention to the security and privacy of the air defense. This paper focuses on two kinds of UAV interference solutions, traditional full-band suppression and targeted spectrum suppression. Experiments show that the target spectrum suppression scheme can reduce 4.61dB transmission power compared with traditional full-band suppression for a certain UAV at the same attack distance. The novelty of paper is that we use artificial intelligence method to analyze the spectrum of UAV signal and the new scheme can reduce power transmission by more than half at the same attack distance. This paper also carry out comparative experiments on different types of UAVs, demonstrating its excellent performance. In addition, for some WiFi UAVs, this paper can even steal their password to acquire the UAVs' control.