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AuthorSchartel, Markusdc.contributor.author
AuthorPrakasan, Krishnendhudc.contributor.author
AuthorHügler, Philippdc.contributor.author
AuthorBurr, Ralfdc.contributor.author
AuthorMayer, Winfrieddc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2018-12-05T14:01:31Zdc.date.accessioned
Available in OPARU since2018-12-05T14:01:31Zdc.date.available
Date of first publication2018dc.date.issued
AbstractA subsurface focusing method for multicopter-based mine detection using a ground penetrating synthetic aperture radar (GPSAR) is presented. In the first part of this paper, the challenges of a side-looking single-input single-output (SISO) GPSAR operating in stripmap mode are highlighted by simulation results. As verification, rail-based frequency-modulated continous-wave (FMCW) GPSAR measurement are shown. In the second part of this paper, the 3D imaging circular SAR (CSAR) approach for subsurface focusing is discussed. It is shown that the 3D position of buried point-like targets can be determined unambiguously. As proof of concept simulation results as well as first multicopter-based CSAR measurements are presented.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordGPRdc.subject
KeywordFMCWdc.subject
KeywordUAVdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHGround penetrating radardc.subject.lcsh
LCSHLand minesdc.subject.lcsh
LCSHDrone aircraftdc.subject.lcsh
TitleA multicopter-based focusing method for ground penetrating synthetic aperture radarsdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-10519dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-10576-7dc.identifier.urn
GNDFlugkörperdc.subject.gnd
GNDElektromagnetische Reflexionsmethodedc.subject.gnd
GNDModuliertes Dauerstrichradardc.subject.gnd
GNDLandminedc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
In cooperation withUrs Endress Stiftunguulm.cooperation
DOI of original publication10.1109/IGARSS.2018.8518905dc.relation1.doi
Source - Title of sourceIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposiumsource.title
Quellenangabe - HerausgeberInstitute of Electrical and Electronics Engineerssource.contributor.editor1
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Year2018source.year
Source - From page8420source.fromPage
Source - To page8423source.toPage
Source - ISSN2153-6996source.identifier.issn
Source - eISSN2153-7003source.identifier.eissn
Source - ISBN978-1-5386-7150-4source.identifier.isbn
Source - ISBN978-1-5386-7151-1source.identifier.isbn
Conference name2018 IGARSS - International Geoscience and Remote Sensing Symposiumuulm.conferenceName
Conference placeValenciauulm.conferencePlace
Conference start date2018-07-22uulm.conferenceStartDate
Conference end date2018-07-27uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


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