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Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies
Open accessAbstract
Self-driving cars constantly assess their environment to choose routes, comply with traffic regulations, and avoid hazards. To that aim, such vehicles are equipped with wireless communications transceivers as well as multiple sensors, including automotive radars. The fact that autonomous vehicles implement both radar and communications motivates designing these functionalities in a joint manner. Such dualfunction radar-communications (DFRC) designs are the focus of a large body of recent work. These approaches can lead to substantial gains in size, cost, power consumption, robustness, and performance, especially when both radar and communications operate in the same range, which is the case in vehicular applications.
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Cited by
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
Liu, F., Cui, Y., Masouros, C., Xu, J., Han, T. X., Eldar, Y. C., & Buzzi, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3156632 · Cited by 3,857
Self-citationOn the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds
Wang, C.-X., You, X., Gao, X., Zhu, X., Li, Z., Zhang, C., Wang, H., Huang, Y., Chen, Y., Haas, H., et al. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3249835 · Cited by 2,336
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar
Liu, X., Huang, T., Shlezinger, N., Liu, Y., Zhou, J., & Eldar, Y. C. (2020) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2020.3004739 · Cited by 992
Self-citationCramér-Rao Bound Optimization for Joint Radar-Communication Beamforming
Liu, F., Liu, Y.-F., Li, A., Masouros, C., & Eldar, Y. C. (2022) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3135692 · Cited by 774
Self-citationOn the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication
Gaudio, L., Kobayashi, M., Caire, G., & Colavolpe, G. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.2998583 · Cited by 444
Metadata
- Authors
- Ma, D., Shlezinger, N., Huang, T., Liu, Y., & Eldar, Y. C.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2020-07
- Volume
- 37
- Issue
- 4
- Pages
- 85-97
- ISSN
- 1053-5888 (ISSN-L)
- 1558-0792
- OpenAlex
- W2971738358
- Cited by
- 461
- References
- 0
- FWCI
- 35.89
- Type
- journal article
- Language
- en
- Open access
- green
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- Ma, D., Shlezinger, N., Huang, T., Liu, Y., & Eldar, Y. C. (2020). Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2020.2983832
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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