Drones are increasingly flying in sensitive airspace where their presence may cause harm, such as near airports, forest fires, large crowded events, secure buildings, and even jails. This problem is likely to expand given the rapid proliferation of drones for commerce, monitoring, recreation, and other applications. A cost-e↵ective detection system is needed to warn of the presence of drones in such cases. In this paper, we explore the feasibility of inexpensive RF-based detection of the presence of drones. We examine whether physical characteristics of the drone, such as body vibration and body shifting, can be detected in the wireless signal transmitted by drones during communication. We consider whether the received drone signals are uniquely di↵erentiated from other mobile wireless phenomena such as cars equipped with WiFi or humans carrying a mobile phone. The sensitivity of detection at distances of hundreds of meters as well as the accuracy of the overall detection system are evaluated using software defined radio (SDR) implementation.
In another work REF , the authors propose a new RF-based drone detection method based on the physical characteristics of the drone, such as body vibration and body shifting, which impact the wireless signal transmitted by the drone during the communication.
Matthan: Drone Presence Detection by Identifying Physical Signatures in the Drone's RF Communication
MobiSys '17
Computer Science