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Distributed Radar-aided Vehicle-to-Vehicle Communication

Aydogdu, C; Liu, F; Masouros, C; Wymeersch, H; Rydstrom, M; (2020) Distributed Radar-aided Vehicle-to-Vehicle Communication. In: Proceedings of the IEEE Radar Conference (RadarConf20) 2020. Institute of Electrical and Electronics Engineers (IEEE) Green open access

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Establishing high-rate vehicle-to-vehicle (V2V) links with narrow beamwidth is challenging due to the varying network topology. A too narrow beam may miss the intended receiver, while a too broad beam leads to SNR loss. We propose to harness the high accuracy of radar detections to establish V2V links. In particular, we develop a distributed method where each vehicle associates local radar detections with GPS information communicated by nearby vehicles. The method relies on the transformation of relative to global coordinates, the definition of a suitable metric, and solving an optimal assignment problem. We demonstrate that the proposed approach avoids time-consuming channel estimation and provides high SNR, under the condition that reliable relative and absolute location information is present.

Type: Proceedings paper
Title: Distributed Radar-aided Vehicle-to-Vehicle Communication
Event: IEEE Radar Conference (RadarConf) 2020
Location: Florence, Italy
Dates: 21st-25th September 2020
ISBN-13: 978-1-7281-8942-0
Open access status: An open access version is available from UCL Discovery
Publisher version: https://doi.org/10.1109/RadarConf2043947.2020.9266...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10123237
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