Automotive Radar Multipath Propagation in Uncertain Environments

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Abstract

Future use of high-resolution near range radar sensors for vehicle environment perception is facing challenges in terms of detection and correct assignment of multipath reflections (false-positives) from surfaces and obstacles. This paper presents a novel geometric model to determine the relative positions from surrounding targets and reflection surfaces assuming that every object moves on a circular path to a mutual center. Principles of electromagnetic wave propagation under consideration of incident wave angles at potential reflection surfaces are described. Radar measurements illuminating an experimental target and a highway barrier as reflection surface, which reproducibly generates several multipath reflections, were carried out in a deterministic test environment and validate our presented methods. The installation of absorption material at intense reflection areas was conducted as countermeasure to reduce the intensity of false-positive detections. Furthermore, a realistic urban driving scenario using a real vehicle as target object and a building wall was reconstructed to proof field relevance.

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Kamann, A., Held, P., Perras, F., Zaumseil, P., Brandmeier, T., & Schwarz, U. T. (2018). Automotive Radar Multipath Propagation in Uncertain Environments. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (Vol. 2018-November, pp. 859–864). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ITSC.2018.8570016

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