Blocking System for Autonomous Flight Drones

In recent years, the misuse of drones has emerged as a critical challenge. Drones use electromagnetic waves, such as GNSS (Global Navigation Satellite System), and remote control signals for navigation. When a malicious drone that intends to engage in criminal activities such as terrorism is detected, it is possible to neutralize drones using systems that generate high-power jamming signals, such as Drone-Buster. However, this approach requires continuous emission of strong jamming signals, which can interfere with nearby devices that rely on electromagnetic waves. Furthermore, it is challenging for a single unit to cover multiple intruder drones simultaneously. In order to address these issues, the following three mechanisms are proposed in this paper:1. Interference with Unauthorized Drone FlightsTypically, drones use GNSS to obtain positional information for navigation. If GNSS signal reception is interrupted, the drone will stop operating. This study proposes multiple array antennas deployed to emit directional signals to achieve this selected jamming. Each jamming signal from one array antenna is weak enough not to affect electronic devices in public areas. However, by concentrating multiple jamming signals within a confined area of a few cubic meters and aligning their phases, the interference intensity can be enhanced to a level that disrupts the regular operation of the drone. A "jamming grid" is created by rapidly scanning this interference area. This grid can then be moved vertically to cover a broader range.2. Safeguarding Authorized DronesThe method mentioned above affects all drones passing through the interference area. To ensure the secure operation of authorized drones, a local positioning system (LPS) that measures positional data locally is implemented. Drones compatible with this system can determine their location and continue operating safely. Additionally, the system employs encryption and authentication using pre-shared key information, preventing malicious drones from calculating positional data or impersonating legitimate drones.3. Provision of Positional Information and Assumption of the Attacker's PerspectiveIn addition to emitting jamming signals, the proposed system can receive and analyze signals reflected from flying objects to determine their position. This capability is especially useful for identifying drones that do not rely on GNSS.Moreover, by incorporating active defense that anticipates the attacker’s psychology and behavior, the system guides intruding drones into deliberately created gaps for interception and neutralization. The human-in-the-loop framework enables flexible, real-time responses.This proposed method can disable unauthorized drones that enter the interference area, and drone operators who do not want to spend time on attacks will inevitably choose to avoid the interference area. Therefore, by setting the interference area to guide drones into the area intended by the defender, it will be possible to effectively deploy more powerful defense devices such as Drone-Buster. Furthermore, the scalability of this approach may also make it possible to defend against large swarms of drones.This paper describes the concept of the proposed method and presents preliminary results from proof-of-concept experiments.