Distinguishing Drones from Birds in a UAV Searching Laser Scanner Based on Echo Depolarization Measurement

Sensors

Marcin Jakubaszek¹  Marek Życzkowski¹  Michał Muzal¹  Marek Zygmunt¹  Tadeusz Drozd¹  Jacek Wojtanowski¹ 

[1] Institute of Optoelectronics, Military University of Technology, 00908 Warsaw, Poland;

关键词: UAV detection;    drone detection;    laser scanner;    drone vs. bird discrimination;    drone monitoring;    anti-drone system;   

DOI  :  10.3390/s21165597

来源: DOAJ

【 摘 要 】

Widespread availability of drones is associated with many new fascinating possibilities, which were reserved in the past for few. Unfortunately, this technology also has many negative consequences related to illegal activities (surveillance, smuggling). For this reason, particularly sensitive areas should be equipped with sensors capable of detecting the presence of even miniature drones from as far away as possible. A few techniques currently exist in this field; however, all have significant drawbacks. This study addresses a novel approach for small (<5 kg) drones detection technique based on a laser scanning and a method to discriminate UAVs from birds. The latter challenge is fundamental in minimizing the false alarm rate in each drone monitoring equipment. The paper describes the developed sensor and its performance in terms of drone vs. bird discrimination. The idea is based on simple cross-polarization ratio analysis of the optical echo received as a result of laser backscattering on the detected object. The obtained experimental results show that the proposed method does not always guarantee 100 percent discrimination efficiency, but provides certain confidence level distribution. Nevertheless, due to the hardware simplicity, this approach seems to be a valuable addition to the developed anti-drone laser scanner.

【 授权许可】

Unknown