TY - GEN
T1 - Airborne-Relay-based Algorithm for Locating Crashed UAVs in GPS-Denied Environments
AU - Oh, Donghan
AU - Lim, Jaesung
AU - Lee, Jong Kwan
AU - Baek, Hoki
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - We propose a location algorithm to promptly search for crashed unmanned aerial vehicles (UAVs), using an airborne communication relay UAV (ACRU) in global positioning system (GPS)-denied environments. Conventional UAV based location methods require at least four UAVs to search for the crashed one. However, such methods are subject to significant errors according to the distance between the crashed UAV and the others. In the proposed algorithm, only one ACRU is required to locate the crashed UAV. The ACRU relays its own position and the signals from the crashed UAV in real-time to a ground control station (GCS), which then estimates the position of the crashed UAV based on time difference of arrival (TDOA) processing using the signals relayed from the ACRU. According to the estimated position of the crashed UAV, the ACRU then flies in the direction of the crashed UAV by applying a weighting algorithm to effectively estimate the distance to it. The performance of the proposed algorithm is verified by computer simulations by considering the conditions of an army battalion battlefield. We improve the accuracy of the proposed location algorithm by applying a weighting algorithm to the TDOA data, and we demonstrate that the location algorithm can be used to efficiently locate crashed UAVs in GPS denied environments.
AB - We propose a location algorithm to promptly search for crashed unmanned aerial vehicles (UAVs), using an airborne communication relay UAV (ACRU) in global positioning system (GPS)-denied environments. Conventional UAV based location methods require at least four UAVs to search for the crashed one. However, such methods are subject to significant errors according to the distance between the crashed UAV and the others. In the proposed algorithm, only one ACRU is required to locate the crashed UAV. The ACRU relays its own position and the signals from the crashed UAV in real-time to a ground control station (GCS), which then estimates the position of the crashed UAV based on time difference of arrival (TDOA) processing using the signals relayed from the ACRU. According to the estimated position of the crashed UAV, the ACRU then flies in the direction of the crashed UAV by applying a weighting algorithm to effectively estimate the distance to it. The performance of the proposed algorithm is verified by computer simulations by considering the conditions of an army battalion battlefield. We improve the accuracy of the proposed location algorithm by applying a weighting algorithm to the TDOA data, and we demonstrate that the location algorithm can be used to efficiently locate crashed UAVs in GPS denied environments.
KW - Airborne communication relay UAV
KW - Crashed UAV
KW - GPS Denied Environments
KW - Ground Control Station
KW - Location algorithm
KW - Multi-hop
KW - Time difference of arrival
UR - http://www.scopus.com/inward/record.url?scp=85080105022&partnerID=8YFLogxK
U2 - 10.1109/UEMCON47517.2019.8993065
DO - 10.1109/UEMCON47517.2019.8993065
M3 - Conference contribution
AN - SCOPUS:85080105022
T3 - 2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019
SP - 877
EP - 882
BT - 2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019
A2 - Chakrabarti, Satyajit
A2 - Saha, Himadri Nath
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019
Y2 - 10 October 2019 through 12 October 2019
ER -