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Blind adaptive beamforming for automotive radar interference suppression

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bechter_18_irs.pdf (924.1Kb)
Erstveröffentlichung
2018-06-21
DOI
10.18725/OPARU-7655
Beitrag zu einer Konferenz


Authors
Bechter, Jonathan
Demirlika, Amarilda
Hügler, Philipp
Roos, Fabian
Waldschmidt, Christian
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Mikrowellentechnik
Published in
2018 19th International Radar Symposium (IRS) / Institute of Electrical and Electronics Engineers (Hrsg.). - : IEEE, 2018. - ISBN 978-3-7369-9545-1. - eISSN 2155-5753
Link to original publication
https://dx.doi.org/10.23919/IRS.2018.8447965
Peer review
ja
Document version
acceptedVersion
Conference
19th International Radar Symposium (IRS), 2018-06-20 - 2018-06-22, Bonn
License
Standard
https://oparu.uni-ulm.de/xmlui/license_v3
Abstract
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.
Subject Headings
Radar [GND]
Positionierung [GND]
Interferenz <Physik> [GND]
Autonomes Fahrzeug [GND]
Automotive sensors [LCSH]
Radar; Interference [LCSH]
Beamforming [LCSH]
Keywords
Automotive; Interference; Suppression; Adaptive

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Citation example

Bechter, Jonathan et al. (2018): Blind adaptive beamforming for automotive radar interference suppression. Open Access Repositorium der Universität Ulm. http://dx.doi.org/10.18725/OPARU-7655

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