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Autonomous Unmanned Aerial Vehicle for Search and Rescue using Software Defined Radio


Seán Óg Murphy, Cormac Sreenan, Ken Brown

Publication Type: 
Refereed Conference Meeting Proceeding
To find missing people in a remote area, we propose an autonomous unmanned aerial vehicle (UAV) approach which attempts to locate the target by detecting and localising the radio signals produced by a GSM cell phone. By using a low-weight software defined radio and companion computer, the UAV can act as a GSM base station and induce the missing person’s device to attempt to make contact. Through the signal strength values and known UAV location, a series of these contact attempts can be used to quickly and accurately localise their position. As the area in which the missing person might be located may be quite large, and the interaction of radio signals with terrain is potentially complex, an efficient search strategy for exploring the area is required in order to reduce time taken to make contact. We make use of a constraint-based graph-based path planning approach to produce a route for the UAV to traverse in the air passing through expected signals from a large number of possible source locations.
Conference Name: 
89th IEEE Vehicular Technology Conference Spring 2019 (VTC-Spring 19)
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Conference Location: 
National University of Ireland, Cork (UCC)
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