Abstract
With the development of automated driving functions, more and more environmental sensors are combined for the vehicle perception. A problem that arises with the extensive use of radar sensing is called interference. It describes the confounding effects from the wave overlay of two or more radar sensors operating in the same frequency-band. At this point, methods for interference avoidance and mitigation come to apply. For a valid design and development of such methods, real sensor measurements were required in the past. This publication instead proposes a novel sensor modelling technique that represents the interference mechanisms within the radar sensor signals. It is based on a full radar time signal simulation coupled with a broad range of influencing factors. The concept is validated by comparing the simulated signal processing steps to the real sensor measurement behavior. As a result, mitigation methods for the sensor fault behavior can be fully assessed within a simulation environment. The opportunity for applying new scenario data and a variable set of radar sensors underlines the importance of this approach in the development of future radar systems.
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References
Hummel, T., Kühn, M., Bende, J., Lang A.: Fahrerassistenzsysteme - Ermittlung des Sicherheitspotenzials auf Basis des Schadengeschehes der Deutschen Versicherer. GDV Forschungsbericht FS 03, (2011)
European New Car Assessment Programme: Test protocol - AEB VRU systems - Version 2.0.2. EuroNCAP (November 2017)
German Association of the Automotive Industry (VDA): Automation - from driver assistance systems to automated driving (2015)
ETSI EN 302 264: European Standard. https://www.etsi.org. Accessed 8 May 2020
Patole, S.M., Torlak, M., Wang, D., Ali, M.: Automotive radars: a review of signal processing techniques. IEEE Signal Process. Mag. 34, 22–35 (2017)
Bordoux, A., Parashar, K., Bauduin, M.: Phenomenology of mutual interference of FMCW and PMCW automotive radars. In: 2017 IEEE Radar Conference (RadarConf), pp. 1709–1714 (2017)
Prinz, A., Roth, J., Schwendner, J., Ayeb, M., Brabetz, L.: Validation strategy for radar-based assistance systems under the influence of interference. In: 2020 German Microwave Conference (GeMiC), pp. 252–255 (2020)
Brooker, G.M.: Mutual interference of millimeter-wave radar systems. IEEE Trans. Electromagn. Compat. 49, 170–181 (2007)
Bechter, J., Waldschmidt, C.: Automotive radar interference mitigation by reconstruction and cancellation of interference component. In: 2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) (2015)
Bechter, J., Roos, F., Rahman, M., Waldschmidt, C.: Automotive radar interference mitigation using a sparse sampling approach. In: 2017 European Radar Conference (EURAD) (2017)
Schipper, T., Schlichenmaier, J., Ahbe, D., Mahler, T., Kowalewski, J., Zwick, T.: A simulator for multi-user automotive radar scenarios. In: IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) (2015)
Beise, H., Stifter, T., Schröder, U.: Virtual interference study for FMCW and PMCW radar. In: 2018 German Microwave Conference (GeMiC) (2018)
Holder, M., Linnhoff, C., Rosenberger, P., Winner, H.: The Fourier tracing approach for modeling automotive radar sensors. In: 20th International Radar Symposium (IRS) (2019)
Kronauge, M., Rohling, H.: Fast two-dimensional CFAR procedure. IEEE Trans. Aerosp. Electron. Syst. 49, 1817–1823 (2013)
Iovescu, C., Rao, S.: The fundamentals of millimeter wave sensors. Texas Instrum. SPYY005, 1–8 (2017)
Hischke, M.: Collision warning radar interference. In: Proceedings of the Intelligent Vehicles 1995 Symposium (1995)
Goppelt, M., Bloecher, H.-L.: Automotive radar-investigation of mutual interference mechanism. In: Advances in Radio Science, pp. 55–60 (2010)
Kim, J., Lee, S., Kim, S.: Modulation type classification of interference signals in automotive radar systems. IET Radar Sonar Navig. 13, 944–952 (2019)
Goppelt, M., Blöcher, H.-L., Menzel, W.: Analytical investigation of mutual interference between automotive FMCW radar sensors. In: 2011 German Microwave Conference (GeMiC) (2011)
Khoury, J., Ramanathan, R., McCloskey, D., Smith R., Campbell, T.: RadarMAC: mitigating radar interference in self-driving cars. In: 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (2016)
Eder, T., Prinz, A., Brabetz, L., Biebl, E.: Szenarienbasierte Validierung eines hybriden Radarmodells für Test und Absicherung automatisierter Fahrfunktionen. In: Tille, T. (ed.) Automobil-Sensorik 3, pp. 21–43. Springer, Heidelberg (2020). https://doi.org/10.1007/978-3-662-61260-6_1
Gardill, M., Schwendner, J., Fuchs, J.: In-situ time-frequency analysis of the 77GHz bands using a commercial chirp-sequence automotive FMCW radar sensor. In: IMS - Recent Advances in Radar Systems Applications (2019)
Klausing, H., Holpp, W.: Radar mit realer und synthetischer Apertur - Konzeption und Realisierung. De Gruyter, Berlin (1999)
Skolnik, M.I.: Radar Handbook, 2nd edn. McGraw-Hill Inc., New York (1990)
Müller, R.: Halbleiter-Elektronik 15. Rauschen, 2nd edn. Springer, Heidelberg (1990). https://doi.org/10.1007/978-3-642-96960-7
Kamel, E.B., Peden, A., Pajusco, P.: RCS modeling and measurements for automotive radar applications in the W band. In: 11th European Conference on Antennas and Propagation (EUCAP) (2017)
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Prinz, A., Peters, LT., Schwendner, J., Ayeb, M., Brabetz, L. (2021). Automotive Radar Signal and Interference Simulation for Testing Autonomous Driving. In: Martins, A.L., Ferreira, J.C., Kocian, A., Costa, V. (eds) Intelligent Transport Systems, From Research and Development to the Market Uptake. INTSYS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-030-71454-3_14
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