Autor | Bechter, Jonathan | dc.contributor.author |
Autor | Demirlika, Amarilda | dc.contributor.author |
Autor | Hügler, Philipp | dc.contributor.author |
Autor | Roos, Fabian | dc.contributor.author |
Autor | Waldschmidt, Christian | dc.contributor.author |
Aufnahmedatum | 2018-06-29T09:58:44Z | dc.date.accessioned |
In OPARU verfügbar seit | 2018-06-29T09:58:44Z | dc.date.available |
Datum der Erstveröffentlichung | 2018-06-21 | dc.date.issued |
Zusammenfassung | Radar sensors offer enormous advantages as sensing devices for automated and autonomous driving. However, when multiple of such sensors are operated in a large number of cars, there is a high risk of the occurrence of mutual interference. In the currently widespread linearly frequency modulated sensors interference reduces the detection performance, especially for targets with a low radar cross section. In this paper the interference effects are suppressed with an adaptive beamforming scheme based on a mean square error minimization. The paper evaluates the algorithm with the help of a simulated and measured scenario, and discusses the occurring interference effects and the benefits of the beamforming approach. | dc.description.abstract |
Sprache | en_US | dc.language.iso |
Verbreitende Stelle | Universität Ulm | dc.publisher |
Lizenz | Standard | dc.rights |
Link zum Lizenztext | https://oparu.uni-ulm.de/xmlui/license_v3 | dc.rights.uri |
Schlagwort | Automotive | dc.subject |
Schlagwort | Interference | dc.subject |
Schlagwort | Suppression | dc.subject |
Schlagwort | Adaptive | dc.subject |
LCSH | Automotive sensors | dc.subject.lcsh |
LCSH | Radar; Interference | dc.subject.lcsh |
LCSH | Beamforming | dc.subject.lcsh |
Titel | Blind adaptive beamforming for automotive radar interference suppression | dc.title |
Ressourcentyp | Beitrag zu einer Konferenz | dc.type |
Version des Dokuments | acceptedVersion | dc.description.version |
DOI | http://dx.doi.org/10.18725/OPARU-7655 | dc.identifier.doi |
URN | http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-7712-4 | dc.identifier.urn |
GND | Radar | dc.subject.gnd |
GND | Positionierung | dc.subject.gnd |
GND | Interferenz <Physik> | dc.subject.gnd |
GND | Autonomes Fahrzeug | dc.subject.gnd |
Fakultät | Fakultät für Ingenieurwissenschaften, Informatik und Psychologie | uulm.affiliationGeneral |
Institution | Institut für Mikrowellentechnik | uulm.affiliationSpecific |
Peer-Review | ja | uulm.peerReview |
DCMI Medientyp | Text | uulm.typeDCMI |
Kategorie | Publikationen | uulm.category |
DOI der Originalpublikation | 10.23919/IRS.2018.8447965 | dc.relation1.doi |
Quellenangabe - Titel der Quelle | 2018 19th International Radar Symposium (IRS) | source.title |
Quellenangabe - Herausgeber | Institute of Electrical and Electronics Engineers | source.contributor.editor1 |
Quellenangabe - Verlag | IEEE | source.publisher |
Quellenangabe - Jahr | 2018 | source.year |
Quellenangabe - eISSN | 2155-5753 | source.identifier.eissn |
Quellenangabe - ISBN | 978-3-7369-9545-1 | source.identifier.isbn |
Name der Konferenz | 19th International Radar Symposium (IRS) | uulm.conferenceName |
Ort der Konferenz | Bonn | uulm.conferencePlace |
Beginn der Konferenz | 2018-06-20 | uulm.conferenceStartDate |
Ende der Konferenz | 2018-06-22 | uulm.conferenceEndDate |