Integration of Phase Noise into a Virtual Test Driving Software to Investigate the Impact on the Radar Performance
- Phase noise (PN) is one of the most significant impairments adversely affecting the detection performance of frequency-modulated continuous wave (FMCW) radar systems. Due to the rapid advance of advanced driver assistance systems (ADAS), virtual testing and the evaluation of highlyautomated driving (HAD) functions became indispensable. In this work, the impact of PN on the performance of automotive radar sensors is demonstrated on HAD functions in a virtual driving simulator. Therefore, a PN model initially developed for static objects is applied to dynamic scenarios including moving objects. By implementing a real world scenario in the virtual environment the influence of PN on the detection performance of the radar sensor is demonstrated. The virtual test scenario is implemented using the CarMaker test driving software, which is commonly accepted as an accurate and reliable tool by the automotive industry. The radar sensor model including PN is implemented as a functional mock-up unit (FMU) using the standardized functional mock-upPhase noise (PN) is one of the most significant impairments adversely affecting the detection performance of frequency-modulated continuous wave (FMCW) radar systems. Due to the rapid advance of advanced driver assistance systems (ADAS), virtual testing and the evaluation of highlyautomated driving (HAD) functions became indispensable. In this work, the impact of PN on the performance of automotive radar sensors is demonstrated on HAD functions in a virtual driving simulator. Therefore, a PN model initially developed for static objects is applied to dynamic scenarios including moving objects. By implementing a real world scenario in the virtual environment the influence of PN on the detection performance of the radar sensor is demonstrated. The virtual test scenario is implemented using the CarMaker test driving software, which is commonly accepted as an accurate and reliable tool by the automotive industry. The radar sensor model including PN is implemented as a functional mock-up unit (FMU) using the standardized functional mock-up interface (FMI) 2.0 and the open simulation interface (OSI) 3.0.0. Finally, the radar FMU model simulations are compared with hardware measurements.…
Author: | Arsalan HaiderORCiD, Matthias Thumann, Jihoon Kim, Abdulkadir Eryildirim, Michael Gerstmair, Thomas ZehORCiDGND, Stefan-Alexander SchneiderORCiDGND |
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DOI: | https://doi.org/10.23919/IRS48640.2020.9253801 |
Identifier: | 9788394942151 OPAC HS OPAC extern |
Identifier: | 2155-5753 OPAC HS OPAC extern |
Parent Title (English): | 2020 21st International Radar Symposium (IRS) |
Publisher: | IEEE |
Place of publication: | Warsaw |
Document Type: | conference proceeding (article) |
Conference: | 21th International Radar Symposium (IRS), 05.-08.10.2020, Warsaw, Poland |
Language: | English |
Date of Publication (online): | 2020/11/16 |
Year of first Publication: | 2020 |
Volume: | 2020 |
Number of pages: | 6 Seiten |
First Page: | 328 |
Last Page: | 333 |
Institutes: | Fakultät Elektrotechnik |
IFM - Institut für Fahrerassistenz und vernetzte Mobilität | |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik |
Research focus: | FSP2: Mobilität |
Publication Lists: | Schneider, Stefan-Alexander |
Zeh, Thomas | |
Haider, Arsalan | |
Publication reviewed: | begutachtet |
Release Date: | 2021/02/15 |