Car2Car Communication Using a Modulated Backscatter and Automotive FMCW Radar
Lazaro, Antonio (Universitat Rovira i Virgili)
Lazaro, Marc (Universitat Rovira i Virgili)
Villarino, Ramon (Universitat Rovira i Virgili)
Girbau, David (Universitat Rovira i Virgili)
Paco Sánchez, Pedro Antonio de (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)

Data:	2021
Resum:	This work proposes the use of a modulated tag for direct communication between two vehicles using as a carrier the wave emitted by an FMCW radar installed in the vehicle for advanced driver assistance. The system allows for real-time signals detection and classification, such as stop signal, turn signals and emergency lights, adding redundancy to computer video sensors and without incorporating additional communication systems. A proof-of-concept tag has been designed at the microwave frequency of 24 GHz, consisting of an amplifier connected between receiving and transmitting antennas. The modulation is performed by switching the power supply of the amplifier. The tag is installed on the rear of the car and it answers when it is illuminated by the radar by modulating the backscattered field. The information is encoded in the modulation switching rate used. Simulated and experimental results are given showing the feasibility of the proposed solution.
Ajuts:	Agencia Estatal de Investigación RTI2018-096019-B-C31 Agencia Estatal de Investigación PRE2019-089028
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Car2Car communications ; V2X ; Automotive radar ; FMCW radar ; Backscatter ; RFID
Publicat a:	Sensors (Basel, Switzerland), Vol. 21, Num. 11 (May 2021) , art. 3656, ISSN 1424-8220

DOI: 10.3390/s21113656
PMID: 34073982

17 p, 6.9 MB

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