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

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dc.contributor.authorMurphy, Sean Óg
dc.contributor.authorSreenan, Cormac J.
dc.contributor.authorBrown, Kenneth N.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2019-07-15T08:42:57Z
dc.date.available2019-07-15T08:42:57Z
dc.date.issued2019-05
dc.date.updated2019-07-15T08:31:32Z
dc.description.abstractTo 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.sponsorshipScience Foundation Ireland (Grant Numbers 10/CE/I1853)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMurphy, 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.2019.8746312en
dc.identifier.doi10.1109/VTCSpring.2019.8746312en
dc.identifier.eissn2577-2465
dc.identifier.endpage6en
dc.identifier.isbn978-1-7281-1217-6
dc.identifier.isbn978-1-7281-1216-9
dc.identifier.isbn978-1-7281-1218-3
dc.identifier.issn1090-3038
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8161
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://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.subjectUnmanned aerial vehiclesen
dc.subjectSoftwareen
dc.subjectGSMen
dc.subjectPlanningen
dc.subjectProtocolsen
dc.subjectCellular phonesen
dc.titleAutonomous unmanned aerial vehicle for search and rescue using software defined radioen
dc.typeConference itemen
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