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Synthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehicle

dc.contributor.authorGarcía Fernández, María 
dc.contributor.authorÁlvarez López, Yuri 
dc.contributor.authorArboleya Arboleya, Ana 
dc.contributor.authorGonzález Valdés, Borja
dc.contributor.authorRodríguez Vaqueiro, Yolanda
dc.contributor.authorLas Heras Andrés, Fernando Luis 
dc.contributor.authorPino García, Antonio
dc.date.accessioned2019-04-24T09:02:42Z
dc.date.available2019-04-24T09:02:42Z
dc.date.issued2018-08
dc.identifier.citationIEEE Access, 6, p. 45100- (2018); doi:10.1109/ACCESS.2018.2863572
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10651/51019
dc.description.abstractThis paper presents a novel system to obtain images from the underground based on ground penetrating radar (GPR). The proposed system is composed by a radar module mounted on board an unmanned aerial vehicle (UAV), which allows the safe inspection of dif cult-to-access areas without being in direct contact with the soil. Therefore, it can be used to detect dangerous buried objects, such as landmines. The radar measurements are coherently combined using a synthetic aperture radar (SAR) algorithm, which requires cm-level accuracy positioning system. In addition, a clutter removal technique is applied to mitigate the re ection at the air-soil interface (which is caused by impedance mismatching). Besides the aforementioned advantages, the system can detect both metallic and dielectric targets (due to the use of a radar instead of a metal detector) and it allows to obtain high-resolution underground images (due to the SAR processing). The algorithms and the UAV payload are validated with measurements in both controlled and real scenarios, showing the feasibility of the proposed system.spa
dc.description.sponsorshipThis work was supported in part by the Ministerio de Economía y Competitividad-Gobierno de España under Project TEC2014-54005-P (MIRIIEM), Project TEC2014-55290-JIN (PORTEMVISION), Project TEC2015-73908-JIN, Project TEC2015-65353-R, and Project RYC-2016-20280, in part by the Ministerio de Educación-Gobierno de España under Grant FPU15/06341, in part by the Gobierno del Principado de Asturias under Grant PCTI 2013-2017, Grant FC-15-GRUPIN14-114, and Grant IDI/2017/000095, and in part by the Galician Regional Government under Project GRC2015/018 and under agreement for funding AtlantTIC (Atlantic Research Center for Information and Communication Technologies). And by the Instituto Universitario de Tecnología Industrial de Asturias (IUTA).spa
dc.format.extent45100-spa
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.ispartofIEEE Access, 6spa
dc.rights© 2018 IEEE
dc.subjectdronesspa
dc.subjectimagingspa
dc.subjectUAVspa
dc.subjectgeorradarspa
dc.subjectminas antipersonaspa
dc.subjectGPRspa
dc.titleSynthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehiclespa
dc.typejournal articlespa
dc.identifier.doi10.1109/ACCESS.2018.2863572
dc.relation.projectIDGRUPIN2018-000191spa
dc.relation.projectIDGRUPIN-18-000191;03
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ACCESS.2018.2863572
dc.rights.accessRightsopen accessspa
dc.type.hasVersionVoR


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