TY - GEN
T1 - Passive Drone Localization Using LTE Signals
AU - Sun, Mingshun
AU - Guo, Zhiwu
AU - Li, Ming
AU - Gerdes, Ryan
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/5/16
Y1 - 2022/5/16
N2 - Drones raise significant privacy and security threats, by intruding into the airspace of private properties or unauthorized regions. Being able to detect and localize the encroaching drones is essential to build geofencing systems to prevent drone misuse. While most existing approaches focus on detecting and localizing active drones, passive drones that do not emit signals are particularly challenging to localize, without requiring advanced hardware. In this work, we propose a novel, low-cost passive drone localization approach, by leveraging opportunistic environmental RF signals (e.g., LTE or WiFi) that reflect off the target drone, with only a single wireless receiver. We implement a prototype system on a USRP-device based testbed, with standard LTE signals emitted by multiple distributed transmitters, and conduct experiments on top of a campus building to evaluate its performance.
AB - Drones raise significant privacy and security threats, by intruding into the airspace of private properties or unauthorized regions. Being able to detect and localize the encroaching drones is essential to build geofencing systems to prevent drone misuse. While most existing approaches focus on detecting and localizing active drones, passive drones that do not emit signals are particularly challenging to localize, without requiring advanced hardware. In this work, we propose a novel, low-cost passive drone localization approach, by leveraging opportunistic environmental RF signals (e.g., LTE or WiFi) that reflect off the target drone, with only a single wireless receiver. We implement a prototype system on a USRP-device based testbed, with standard LTE signals emitted by multiple distributed transmitters, and conduct experiments on top of a campus building to evaluate its performance.
KW - lte
KW - ofdm radar processing
KW - passive drone localization
UR - http://www.scopus.com/inward/record.url?scp=85130810642&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130810642&partnerID=8YFLogxK
U2 - 10.1145/3507657.3529658
DO - 10.1145/3507657.3529658
M3 - Conference contribution
AN - SCOPUS:85130810642
T3 - WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
SP - 295
EP - 297
BT - WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PB - Association for Computing Machinery, Inc
T2 - 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022
Y2 - 16 May 2022 through 19 May 2022
ER -