ITS World Congress 2021, Oct 2021, Hamburg, Germany.
As the number of vehicles equipped with radars sensors is rapidly increasing, the risk of harmful
interference is rising to undesirable levels, especially since the radar waveform parameters are not
regulated. Interference mitigation techniques are becoming very important for radars to operate properly
in this complex environment. This article investigates the potential of V2X (Vehicle-to-Everything)
technology as a side communication channel between vehicles, to coordinate usage of the radar
bandwidth and thus avoid interference. Vehicles equipped with V2X technology can receive information
about the upcoming radar waveform parameters of the vehicles in their vicinity, and adjust their own
radar parameters accordingly, then inform them back by means of a V2X message. Simulation results
reveal that V2X technology can help to significantly reduce interference levels and might thus be a
promising companion communication channel for radar interference avoidance techniques.
Sylvain Roudiere, Vincent Martinez, Daniel Delahaye. A First Investigation of V2X Communication
for Radar Interference Mitigation. ITS World Congress 2021, Oct 2021, Hamburg, Germany. ffhal03480266
@INPROCEEDINGS{first-investigation-v2x,
author={Roudiere, Sylvain and Martinez, Vincent and Delahaye, Daniel},
booktitle={ITS World Congress 2021 (ITSWC)},
title={A First Investigation of V2X Communication for Radar Interference Mitigation},
year={2021}}
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Sept 2021, Indianapolis, IN, USA.
As the number of vehicles equipped with radars sensors is rapidly increasing, the risk of harmful interference is increasing, especially since the radar waveform parameters are not regulated. Interference mitigation techniques are becoming important for radars to operate properly in this complex environment. We presented in a previous study that the use of V2X technology to communicate radars physical properties as well as the parameters of their waveform allows for new anticipation strategies. These strategies focus on identifying potential interferers thanks to V2X communications and adapt the radar waveform to minimize the risk of interference. This article investigates the importance of time synchronization between the radar's waveform and the V2X messages emissions when using such a cooperative strategy.
S. Roudiere, V. Martinez and D. Delahaye, "Importance of Synchronizing Radars with V2X communication for Radar Interference Mitigation," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA, 2021, pp. 3807-3812, doi: 10.1109/ITSC48978.2021.9565081.
@INPROCEEDINGS{9565081,
author={Roudiere, Sylvain and Martinez, Vincent and Delahaye, Daniel},
booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
title={Importance of Synchronizing Radars with V2X communication for Radar Interference Mitigation},
year={2021},
volume={},
number={},
pages={3807-3812},
doi={10.1109/ITSC48978.2021.9565081}}
The number of vehicles equipped with radars on the road has been increasing for years and is expected to reach 50% of cars by 2030. This rapid rise in radars will likely increase the risk of harmful interference, especially since radar specifications from standardization bodies (e.g., ETSI) provide requirements in terms of maximum transmit power but do no mandate specific radar waveform parameters nor channel access scheme policies. Techniques for interference mitigation are thus becoming very important to ensure the long-term correct operation of radars and upper-layer ADAS systems that depend on them in this complex environment. In our previous work, we have shown that organizing the radar band into time-frequency resources that do not interfere with each other vastly reduces the amount of interference by facilitating band sharing. In this paper, a metaheuristic is presented to find the optimal resource sharing between radars, knowing their relative positions and thereby the line-of-sight and non-line-of-sight interference risks during a realistic scenario. The metaheuristic aims at optimally minimizing interference while minimizing the number of resource changes that radars have to make. It is a centralized approach where everything about the system is known (e.g., the past and future positions of the vehicles). This and the high computational load induce that this algorithm is not meant to be used in real-time. However, the metaheuristic approach can be extremely useful for finding near optimal solutions in simulations, allowing for the extraction of efficient patterns, or as data generation for machine learning.
Roudiere, S.; Martinez, V.; Maréchal, P.; Delahaye, D. Metaheuristic for Optimal Dynamic K-Coloring Application on Band Sharing for Automotive Radars. Sensors 2023, 23, 5765. https://doi.org/10.3390/s23125765
@Article{s23125765,
AUTHOR = {Roudiere, Sylvain and Martinez, Vincent and Maréchal, Pierre and Delahaye, Daniel},
TITLE = {Metaheuristic for Optimal Dynamic K-Coloring Application on Band Sharing for Automotive Radars},
JOURNAL = {Sensors},
VOLUME = {23},
YEAR = {2023},
NUMBER = {12},
ARTICLE-NUMBER = {5765},
URL = {https://www.mdpi.com/1424-8220/23/12/5765},
PubMedID = {37420929},
ISSN = {1424-8220},
ABSTRACT = {The number of vehicles equipped with radars on the road has been increasing for years and is expected to reach 50% of cars by 2030. This rapid rise in radars will likely increase the risk of harmful interference, especially since radar specifications from standardization bodies (e.g., ETSI) provide requirements in terms of maximum transmit power but do no mandate specific radar waveform parameters nor channel access scheme policies. Techniques for interference mitigation are thus becoming very important to ensure the long-term correct operation of radars and upper-layer ADAS systems that depend on them in this complex environment. In our previous work, we have shown that organizing the radar band into time-frequency resources that do not interfere with each other vastly reduces the amount of interference by facilitating band sharing. In this paper, a metaheuristic is presented to find the optimal resource sharing between radars, knowing their relative positions and thereby the line-of-sight and non-line-of-sight interference risks during a realistic scenario. The metaheuristic aims at optimally minimizing interference while minimizing the number of resource changes that radars have to make. It is a centralized approach where everything about the system is known (e.g., the past and future positions of the vehicles). This and the high computational load induce that this algorithm is not meant to be used in real-time. However, the metaheuristic approach can be extremely useful for finding near optimal solutions in simulations, allowing for the extraction of efficient patterns, or as data generation for machine learning.},
DOI = {10.3390/s23125765}}
The number of vehicles on the road equipped with radars has been increasing for years and is estimated to reach 50% of cars by 2030. This rapid increase in radars will greatly increase the risk of harmful interference, especially since the radar waveform parameters are not heavily regulated within the 76-81 GHz band. Techniques for interference mitigation are thus becoming very important to ensure the correct operation of radars and upper-layer ADAS systems that depend on them in this complex environment. As presented in our previous study, by using a 4G, 5G or IEEE 802.11p/bd network, V2X technology can greatly help to mitigate interference by communicating radars physical properties and waveform parameters to surrounding vehicles. This data can be used to anticipate potential interferer and adapt FMCW radar parameters accordingly, but finding the perfect set of parameters can be difficult due to the lack of standardization of the bandwidth usage. To ease parameters selection, this article investigates the benefit of implementing a common channel access policy to split the bandwidth into orthogonal waveform and proposes a new strategy based on the radar orientation to mitigate interference.
S. Roudiere, V. Martinez and D. Delahaye, "Orientation Based Band Sharing for Radar Interference Mitigation," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-6, doi: 10.1109/VTC2023-Spring57618.2023.10200503.
@INPROCEEDINGS{10200503,
author={Roudiere, Sylvain and Martinez, Vincent and Delahaye, Daniel},
booktitle={2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)},
title={Orientation Based Band Sharing for Radar Interference Mitigation},
year={2023},
volume={},
number={},
pages={1-6},
doi={10.1109/VTC2023-Spring57618.2023.10200503}}