Abstract
The need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target’s location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose two tracking algorithms, depending on the estimation method and also apply the memory process, improving the tracking performance by using stored previous movement information. We evaluate the proposed system’s performance in terms of the average number of movements that are required to track and the tracking success rate.
Highlights
Drones have developed from the existing radio frequency (RF) signal control method to the combination of communication networks, such as LTE and 5G, thereby increasing the controllable distance and reducing the response time
We first observe the memory process improves the performance of the trilateration-based algorithm as well as the proposed algorithm
We proposed the position tracking system with multiple Bluetooth receivers
Summary
Drones have developed from the existing radio frequency (RF) signal control method to the combination of communication networks, such as LTE and 5G, thereby increasing the controllable distance and reducing the response time. Research on existing BLE-based location tracking techniques is based on a fingerprinting approach while using the received signal strength indication (RSSI) database [23,24,25], tracking an object’s position while using the trilateration method, and the RSSI-distance conversion formula using a propagation model [26,27,28,29,30]. The method to enhance the precision of location tracking in combination with various sensors, such as gyro, acceleration, and inertial sensors, cannot be applied in the anti-drone system, because the target is the unauthorized drone that hides its identity. In contrast to the existing algorithms, the tracker gradually tracks the target that is based on the estimated location that was obtained from RSSI values at multiple receivers.
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