Blind Adaptive Beamforming for Automotive Radar Interference Suppression

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 sens...

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Bibliographic Details
Main Authors: Bechter, Jonathan, Demirlika, Amarilda, Hugler, Philipp, Roos, Fabian, Waldschmidt, Christian
Format: Conference Proceeding
Language:English
Subjects:
Antenna measurements
Array signal processing
Baseband
Frequency modulation
Interference
Radar
Sensors
Online Access:Request full text
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Summary: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.
ISSN:2155-5753
DOI:10.23919/IRS.2018.8447965