Print Email Facebook Twitter Statistical Polarimetric RCS Model of an Asphalt Road Surface for mm-Wave Automotive Radar Title Statistical Polarimetric RCS Model of an Asphalt Road Surface for mm-Wave Automotive Radar Author Bouwmeester, W. (TU Delft Microwave Sensing, Signals & Systems) Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems) Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems) Date 2023 Abstract A method for extracting fully polarimetric statistical properties of road surface radar cross sections is presented. This method is subsequently applied to extract radar cross section information from an asphalt road surface. Furthermore, an approach is introduced to synthesise the scattered signal of road surface returns as measured by a radar. The extracted statistical properties of asphalt are subsequently used in this synthesis procedure, and excellent agreement with the experimental measurement results is demonstrated. Subject polarimetryradarradar cross sectionsurface scatteringautomotive To reference this document use: http://resolver.tudelft.nl/uuid:445adb08-90df-400e-bbef-3771f7a43f39 DOI https://doi.org/10.23919/EuRAD58043.2023.10289307 Publisher IEEE Embargo date 2024-04-26 ISBN 979-8-3503-2246-0 Source Proceedings of the 2023 20th European Radar Conference (EuRAD) Event 2023 20th European Radar Conference (EuRAD), 2023-09-20 → 2023-09-22, Berlin, Germany Series 20th European Radar Conference, EuRAD 2023 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2023 W. Bouwmeester, F. Fioranelli, Alexander Yarovoy Files PDF Statistical_Polarimetric_ ... _Radar.pdf 364.31 KB Close viewer /islandora/object/uuid:445adb08-90df-400e-bbef-3771f7a43f39/datastream/OBJ/view