Low-altitude UAV Surveillance System via Highly Sensitive Distributed Acoustic Sensing

Junfeng Chen1; Hao Li1; Ke Ai1; Zhengxuan Shi1; Xiangpeng Xiao1; Zhijun Yan1,2; Deming Liu1; Perry Ping Shum3; Qizhen Sun1,2

2024

10.1109/JSEN.2024.3452072

IEEE Sensors Journal   影响因子和分区

2379-9153

In recent years, the unmanned aerial vehicle (UAV) has been widely applied in daily life, but the “black flight” incidents happen frequently and even endanger public safety. Although the electrical microphone can cover the low-altitude and non-line-of-sight (NLOS) blind areas of radar or camera system, it is quite difficult to achieve large-scale networking and surveillance. In this paper, a low-altitude UAV detection and positioning scheme based on fiber-optic distributed acoustic sensing (DAS) is proposed and demonstrated, which has the superiorities of large-scale networking and anti-electromagnetic interference in applications. The DAS system assisted with the highly sensitive sensing cable fabricated by uniformly winding backscattering enhanced optical fiber (BEOF) around sensitization cable can collect the acoustic signals induced by low-altitude UAV, and it can be easily deployed with large scale. The acoustic signals collected by DAS are further divided into continuous frames and denoised for low-altitude UAV positioning and tracking, in which the time difference of arrival (TDOA) algorithm based on the generalized cross correlation (GCC) method and least squares estimation (LSE) method is employed. In field test, the low-altitude UAV positioning and tracking are both demonstrated and achieved with an ultra-low position estimation error less than 0.5 m in low-altitude airspace. It has exhibited the proposed surveillance scheme has a great potential for the low-altitude airspace early-warning in large-scale applications like border, airport, etc. Then, reporting and monitoring intrusive low-altitude UAV instantaneously allows controller to take quick action to prevent the potential danger and damage from happening in key areas.

其他

1.National Engineering Research Center for Next Generation Internet Access-System, Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China
2.JinYinHu Laboratory, Wuhan, Hubei, P. R. China
3.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, P. R. China

Junfeng Chen,Hao Li,Ke Ai,et al. Low-altitude UAV Surveillance System via Highly Sensitive Distributed Acoustic Sensing[J]. IEEE Sensors Journal,2024,PP(99).

Junfeng Chen.,Hao Li.,Ke Ai.,Zhengxuan Shi.,Xiangpeng Xiao.,...&Qizhen Sun.(2024).Low-altitude UAV Surveillance System via Highly Sensitive Distributed Acoustic Sensing.IEEE Sensors Journal,PP(99).

Junfeng Chen,et al."Low-altitude UAV Surveillance System via Highly Sensitive Distributed Acoustic Sensing".IEEE Sensors Journal PP.99(2024).