Progress In Electromagnetics Research M
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By K. Hahmann, S. Schneider, and T. Zwick

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With a constantly increasing number of cars equipped with 77 GHz automotive radar, the performance degrading effects of crosstalk are becoming a rising threat to radar-enabled automated driving functions. Since interference is sensitive to slight changes of temporal and spatial conditions of the scenario, meaningful measurements are hard to conduct which is why simulations are an important supplement. In this paper, a simulation model is introduced that estimates the distribution of the reduction of the detection range of automotive radars due to multiple interferers focusing on stochastic temporal conditions. The underlying system model calculates the direction- and timing-dependent influence of one single interferer on the detection range of the host radar. The model is kept simple, making it suitable for Monte Carlo methods, which allow the indispensable statistical evaluation of the broadly spread results. Finally, a method is presented that transfers multiple statistics regarding single interferers into a single environment. The computing time of the simulation grows linearly with the number of interfering radars, so the effects of vast numbers of interferers can be studied using this simulation model. Statistical evaluations of the detection performance degradation of a front-mounted radar in sample highway scenarios, containing up to ten interfering radar sensors, are performed in this paper.

K. Hahmann, S. Schneider, and T. Zwick, "Analysis of Interference Between Vast Numbers of Automotive Radars Considering Stochastic Temporal Conditions," Progress In Electromagnetics Research M, Vol. 94, 131-142, 2020.

1. Winner, H., S. Hakuli, F. Lotz, and C. Singer, Sensors for DAS, Springer, Switzerland, 2016.

2. Oprisan, D. and H. Rohling, "Analysis of mutual interference between automotive radar systems," International Radar Symposium (IRS), 83-90, Berlin, Germany, 2005.

3. Brooker, G. M., "Mutual interference of millimeter-wave radar systems," IEEE Trans. Electromagn. Compat., Vol. 49, No. 1, 170-181, 2007.

4. Goppelt, M. and H.-L. Blöcher, "Automotive radar - Investigation of mutual interference mechanisms," Advances in Radio Science, Vol. 8, 55-60, 2010.

5. Schipper, T., et al., "Simulative prediction of the interference potential between radars in common road scenarios," IEEE Trans. Electromagn. Compat., Vol. 57, No. 3, 322-328, 2015.

6. Schipper, T., et al., "A simulator for multi-user automotive radar scenarios," IEEE MTT-S Int. Conf. Microwaves Intell. Mobility, 1-4, 2015.

7. Al-Hourani, A., R. J. Evans, S. Kandeepan, B. Moran, and H. Eltom, "Stochastic geometry methods for modeling automotive radar interference," IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 2, 333-344, 2017.

8. Munari, A., L. Simić, and M. Petrova, "Stochastic geometry interference analysis of radar network performance," IEEE Communications Letters, Vol. 22, No. 11, 2362-2365, 2018.

9. Terbas, D., F. Laghezza, F. Jansen, A. Filippi, and J. Overdevest, "Radar to radar interference in common traffic scenarios," 16th European Radar Conference (EuRAD), 177-180, 2019.

10. Skaria, S., A. Al-Hourani, R. J. Evans, K. Sithamparanathan, and U. Parampalli, "Interference mitigation in automotive radars using pseudo-random cyclic orthogonal sequences," Sensors, Vol. 19, 4459, 2019.

11. Hahmann, K., S. Schneider, and T. Zwick, "Evaluation of probability of interference-related ghost targets in automotive radars," 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), 1-4, 2018.

12. Hahmann, K., S. Schneider, and T. Zwick, "Estimation of the influence of incoherent interference on the detection of small obstacles with a DBF radar," 2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), 1-4, 2019.

13. Schipper, T., "Modellbasierte analyse des interferenzverhaltens von Kfz-Radaren,", Ph.D. dissertation, Karlsruhe Institiute of Technology, 2017.

14. Richards, M., J. Scheer, and W. Holm, "The radar range equation," Principles of Modern Radar, SciTech, Raleigh, NY, 2010.

15. Harris, F. J., "On the use of windows for harmonic analysis with the discrete Fourier transform," Proceedings of the IEEE, Vol. 66, No. 1, 51-83, 1978.

16. Fischer, C., H.-L. Blöcher, J. Dickmann, and W. Menzel, "Robust detection and mitigation of mutual interference in automotive radar," 2015 16th International Radar Symposium (IRS), 143-148, 2015.

17. Fischer, C., M. Goppelt, H.-L. Blöcher, and J. Dickmann, "Minimizing interference in automotive radar using digital beamforming," Advances in Radio Science, Vol. 9, 45-49, 2011.

18. Bechter, J., K. Eid, F. Roos, and C. Waldschmidt, "Digital beamforming to mitigate automotive radar interference," 2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), 1-4, 2016.

19. Bechter, J., M. Rameez, and C. Waldschmidt, "Analytical and experimental investigations on mitigation of interference in a DBF MIMO Radar," IEEE Transactions on Microwave Theory and Techniques, Vol. 65, No. 5, 1727-1734, 2017.

20. Bartlett, M., "Smoothing periodograms from time-series with continuous spectra," Nature, Vol. 161, 686-687, 1948.

21. Bosq, D. and H. T. Nguyen, "Basic probability background," A Course in Stochastic Processes, Springer, Dordrecht, 1996.

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