@article{ref1,
title="Position tracking techniques using multiple receivers for anti-drone systems",
journal="Sensors (Basel)",
year="2021",
author="Shin, Jae-Min and Kim, Yu-Sin and Ban, Tae-Won and Choi, Suna and Kang, Kyu-Min and Ryu, Jong-Yeol",
volume="21",
number="1",
pages="e35-e35",
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.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s21010035",
url="http://dx.doi.org/10.3390/s21010035"
}