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AuthorRoos, Fabiandc.contributor.author
AuthorHügler, Philippdc.contributor.author
AuthorKnill, Christinadc.contributor.author
AuthorAppenrodt, Nilsdc.contributor.author
AuthorDickmann, Jürgendc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2018-04-26T13:27:32Zdc.date.accessioned
Available in OPARU since2018-04-26T13:27:32Zdc.date.available
Date of first publication2018dc.date.issued
AbstractFor autonomous driving high-resolution radar sensors are key components, which have the drawback of high data rates. In order to reduce the amount of sampled data, random samples can be omitted and afterwards reconstructed using compressed sensing methods. A possible application is that not every receiving antenna element demands its own analog-to-digital converter. One converter can be used for several receiving elements with a random assignment to each antenna instead. In this paper, an analysis is presented of how many samples can be neglected such that a successful reconstruction in post-processing for an automotive scenario is possible. A measurement result is shown to prove that with only 40% of samples a successful reconstruction is possible.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordChirp-sequencedc.subject
KeywordCompressinve sensingdc.subject
KeywordData rate reductiondc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHRadardc.subject.lcsh
LCSHCompressed sensing (Telecommunication)dc.subject.lcsh
LCSHAutomotive sensorsdc.subject.lcsh
TitleData rate reduction for chirp-sequence based automotive radars using compressed sensingdc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-6215dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-6272-5dc.identifier.urn
GNDChirpdc.subject.gnd
GNDKomprimierte Abtastungdc.subject.gnd
GNDAutonomes Fahrendc.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.2018.8335101dc.relation1.doi
Source - Title of source2018 11th German Microwave Conference (GeMiC)source.title
Quellenangabe - HerausgeberInstitute of Electrical and Electronics Engineerssource.contributor.editor1
Source - Place of publicationIEEEsource.publisher
Source - Year2018source.year
Source - From page347source.fromPage
Source - To page350source.toPage
Source - ISBN978-3-9812668-8-7source.identifier.isbn
Source - ISBN978-1-5386-3740-1source.identifier.isbn
Conference name11th German Microwave Conference (GeMiC)uulm.conferenceName
Conference placeFreiburguulm.conferencePlace
Conference start date2018-03-12uulm.conferenceStartDate
Conference end date2018-03-14uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


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