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AuthorRoos, Fabiandc.contributor.author
AuthorHügler, Philippdc.contributor.author
AuthorKnill, Christinadc.contributor.author
AuthorTovar Torres, Lizette Lorrainedc.contributor.author
AuthorAppenrodt, Nilsdc.contributor.author
AuthorDickmann, Jürgendc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2019-11-06T12:44:05Zdc.date.accessioned
Available in OPARU since2019-11-06T12:44:05Zdc.date.available
Date of first publication2019dc.date.issued
AbstractIn order to enhance the resolution of radar sensors, the sampling of the different measurement domains range, Doppler, and direction-of-arrival can be improved. This, for example, leads to the application of a sparse array for an increased angular resolution and an enhanced multiple-input multiple-output switching scheme for an increased maximum Doppler velocity. In this paper, an investigation is performed in order to determine the dimension where undersampling is most effective. As the measurement dimensions are linked, two different reconstruction approaches of the subsampled data are presented and evaluated. Measurements validate the effective reconstruction of the subsampled data.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
Keyworddirection-of-arrival estimationdc.subject
Keywordsparse arraysdc.subject
Keywordautomotive radardc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHMIMO systemsdc.subject.lcsh
LCSHRadardc.subject.lcsh
LCSHAntenna arraysdc.subject.lcsh
LCSHParameter estimationdc.subject.lcsh
LCSHSignal processingdc.subject.lcsh
LCSHCompressed sensing (Telecommunication)dc.subject.lcsh
LCSHAutomobiles; Electronic equipmentdc.subject.lcsh
TitleComparison of 2D and 3D compressed sensing for high-resolution TDM-MIMO radarsdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-22040dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-22096-0dc.identifier.urn
GNDMIMOdc.subject.gnd
GNDRadardc.subject.gnd
GNDParameteridentifikationdc.subject.gnd
GNDAntennengruppendc.subject.gnd
GNDSignalverarbeitungdc.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
Conference nameEuropean Radar Conferenceuulm.conferenceName
Conference placeParisuulm.conferencePlace
Conference start date2019-10-02uulm.conferenceStartDate
Conference end date2019-10-04uulm.conferenceEndDate
University Bibliographyjauulm.unibibliographie


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