Department of Information and Communications Engineering, Gyeongsang National University, Tongyeong 53064, Korea.
Electronics and Telecommunications Research Institute (ETRI), Daejon 34129, Korea.
Sensors (Basel). 2020 Dec 23;21(1):35. doi: 10.3390/s21010035.
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.
随着无人机需求的增加,对无人机交通管制管理的需求已经出现。特别是,为了控制未经授权的无人机,必须开发检测和跟踪无人机的系统。在本文中,我们提出了一种使用多个蓝牙低能 (BLE) 接收器的无人机位置跟踪系统。所提出的系统首先使用四个 BLE 接收器的接收信号强度指示 (RSSI) 信号来估计目标的位置,该位置由距离和角度组成,并根据估计的距离和角度逐渐跟踪目标。我们提出了两种跟踪算法,根据估计方法的不同,还应用了存储过程,通过使用存储的先前运动信息来提高跟踪性能。我们根据跟踪所需的平均运动次数和跟踪成功率来评估所提出系统的性能。