Autonomous unmanned aerial vehicle for search and rescue using software defined radio

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dc.contributor.author Murphy, Sean Óg
dc.contributor.author Sreenan, Cormac J.
dc.contributor.author Brown, Kenneth N.
dc.date.accessioned 2019-07-15T08:42:57Z
dc.date.available 2019-07-15T08:42:57Z
dc.date.issued 2019-05
dc.identifier.citation Murphy, S. Ó., Sreenan, C. and Brown, K. N. (2019) 'Autonomous unmanned aerial vehicle for search and rescue using software defined radio', 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 28 April-1 May. doi: 10.1109/VTCSpring.2019.8746312 en
dc.identifier.startpage 1 en
dc.identifier.endpage 6 en
dc.identifier.isbn 978-1-7281-1217-6
dc.identifier.isbn 978-1-7281-1216-9
dc.identifier.isbn 978-1-7281-1218-3
dc.identifier.issn 1090-3038
dc.identifier.uri http://hdl.handle.net/10468/8161
dc.identifier.doi 10.1109/VTCSpring.2019.8746312 en
dc.description.abstract 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, and demonstrate through experiments the timely identification and localisation of the cell phone. en
dc.description.sponsorship Science Foundation Ireland (Grant Numbers 10/CE/I1853) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.uri https://ieeexplore.ieee.org/abstract/document/8746312
dc.rights © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Unmanned aerial vehicles en
dc.subject Software en
dc.subject GSM en
dc.subject Planning en
dc.subject Protocols en
dc.subject Cellular phones en
dc.title Autonomous unmanned aerial vehicle for search and rescue using software defined radio en
dc.type Conference item en
dc.internal.authorcontactother Kenneth Brown, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: k.brown@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-07-15T08:31:32Z
dc.description.version Accepted Version en
dc.internal.rssid 492900555
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Kuala Lumpur, Malaysia en
dc.internal.IRISemailaddress k.brown@cs.ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ en
dc.identifier.eissn 2577-2465


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