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UAV Mobility Detection Using Radio Channel Properties for Collision Avoidance in Air Corridor

Haak, WT (2021) UAV Mobility Detection Using Radio Channel Properties for Collision Avoidance in Air Corridor.

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Abstract:This paper discusses a UAV (Unmanned Aerial Vehicle) mobility detection scheme to realize the safe air mobility in air corridor. It is crucial for UAVs to detect the mobility of its neighboring UAVs in order to plan a trajectory in real time and avoid collisions. This paper focuses on the utilization of radio channel properties acquired from the transmit-receive antennas loaded on the UAV to detect its neighbor UAV's mobility. The UAVs of interest are quadcopter drones. From the scattered radio signals, the micro-Doppler frequency shift is extracted and contains information of the rotational velocity of the propellers. Moreover, the snapshot power delay profile contains real time information of the distance between the drones. The project is electromagnetic (EM) simulator based and the results show that the drone's orientation has an influence on the micro-Doppler signatures. To add on that, the obtained power delay profile, when using the cross-polarized pair of transmit-receive antennas, shows the drone's propellers instead of the drone's body. Based on these findings, a collision avoidance scheme is summarized.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:http://purl.utwente.nl/essays/87495
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