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AuthorBechter, Jonathandc.contributor.author
AuthorRoos, Fabiandc.contributor.author
AuthorRahman, Mahfuzurdc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2018-06-07T12:52:39Zdc.date.accessioned
Available in OPARU since2018-06-07T12:52:39Zdc.date.available
Date of first publication2017dc.date.issued
AbstractThe application of radar sensors for driver assistance systems and autonomous driving leads to an increasing probability of radar interferences. Those interferences degrade the detection capabilities and can cause sensor blindness. This paper uses a realistic road scenario to address the problems of a common countermeasure that simply removes interference-affected parts of time domain radar signals and thereby introduces a gap. The paper solves the problem with the application of a sparse sampling signal recovery algorithm that is also used for compressed sensing problems. It is shown that the signal recovery can clearly overcome the shortcomings of just removing interfered signal parts. In the end of the paper, the applicability of the used algorithm is verified with measured radar data.dc.description.abstract
Languageen_USdc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHSignal processingdc.subject.lcsh
LCSHRadardc.subject.lcsh
LCSHRadar; Interferencedc.subject.lcsh
TitleAutomotive radar interference mitigation using a sparse sampling approachdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-6895dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-6952-7dc.identifier.urn
GNDRadarortungdc.subject.gnd
GNDSignalverarbeitungdc.subject.gnd
GNDInterferenz <Physik>dc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
DOI of original publication10.23919/EURAD.2017.8249154dc.relation1.doi
Source - Title of source2017 European Radar Conference (EURAD)source.title
Quellenangabe - HerausgeberInstitute of Electrical and Electronics Engineerssource.contributor.editor1
Source - Place of publicationIEEEsource.publisher
Source - Year2017source.year
Source - From page90source.fromPage
Source - To page93source.toPage
Source - ISBN978-1-5386-3965-8source.identifier.isbn
Source - ISBN978-2-87487-049-1source.identifier.isbn
Conference nameEuropean Radar Conference (EURAD)uulm.conferenceName
Conference placeNürnberguulm.conferencePlace
Conference start date2017-10-11uulm.conferenceStartDate
Conference end date2017-10-13uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


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