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AuthorRoos, Fabiandc.contributor.author
AuthorHügler, Philippdc.contributor.author
AuthorTovar Torres, Lizette Lorrainedc.contributor.author
AuthorKnill, Christinadc.contributor.author
AuthorSchlichenmaier, Johannesdc.contributor.author
AuthorVasanelli, Claudiadc.contributor.author
AuthorAppenrodt, Nilsdc.contributor.author
AuthorDickmann, Jürgendc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2019-05-09T09:16:04Zdc.date.accessioned
Available in OPARU since2019-05-09T09:16:04Zdc.date.available
Date of first publication2019-04-25dc.date.issued
AbstractThe angular resolution of a radar system can be enhanced with an increasing antenna aperture. Instead of using more antenna elements, the distances in the aperture can be increased with a sparse array. To mitigate the high side lobes originating from the sparse array, the missing antenna elements can be reconstructed by means of compressed sensing. In this paper a sparse antenna array with a low side lobe level is determined with a genetic algorithm and a cost function. An investigation is performed what difference in the radar cross section of two targets in the same range-Doppler cell can be achieved. Additionally, instead of considering point targets only, a target vehicle is measured with a 77 GHz MIMO radar.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandard (ohne Print-on-Demand)dc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_opod_v1dc.rights.uri
KeywordMIMO radardc.subject
KeywordDirection-of-arrival estimationdc.subject
KeywordSparse arraysdc.subject
KeywordSingle snapshotdc.subject
KeywordExtended targetsdc.subject
KeywordAutomotive radardc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHMIMO systemsdc.subject.lcsh
LCSHCompressed sensing (Telecommunication)dc.subject.lcsh
LCSHRadardc.subject.lcsh
LCSHSnapshotsdc.subject.lcsh
TitleCompressed sensing based single snapshot DoA estimation for sparse MIMO radar arraysdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-14063dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-14120-2dc.identifier.urn
GNDMIMOdc.subject.gnd
GNDKomprimierte Abtastungdc.subject.gnd
GNDBordradardc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
In cooperation withDaimler AGuulm.cooperation
DOI of original publication10.23919/GEMIC.2019.8698136dc.relation1.doi
Source - Title of source2019 12th German Microwave Conference (GeMiC)source.title
Quellenangabe - HerausgeberInstitute of Electrical and Electronics Engineerssource.contributor.editor1
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Volume2019source.volume
Source - Year2019source.year
Source - From page75source.fromPage
Source - To page78source.toPage
Source - ISSN2167-8022source.identifier.issn
Source - ISBN978-3-9812668-9-4source.identifier.isbn
Source - ISBN978-1-7281-0242-9source.identifier.isbn
Conference nameGerman Microwave Conference (GeMiC)uulm.conferenceName
Conference placeStuttgartuulm.conferencePlace
Conference start date2019-03-25uulm.conferenceStartDate
Conference end date2019-03-27uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


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