TU2.L2.3
Spread Spectrum Modulated mm-Wave Tag for V2X Applications
Antonio Lazaro, Ramon Villarino, Marc Lazaro, David Gribau, Universitat Rovira i Virgili, Spain
Session:
TU2.L2: Wireless technologies for Industrial Applications Oral
Track:
RFID for Industry 4.0 and for Smart Cities
Location:
Room 2
Presentation Time:
Tue, 5 Sep, 12:20 - 12:40 Portugal Time
Abstract
Detection of vulnerable road users such as cyclists, and scooter drivers, constitute a challenge for automotive radars due to their low radar cross-section and strong clutter existing in urban environments. To address this issue, a semi-passive millimeter wave identification (MMID) tag has been proposed to enhance their detection. The tag consists of two Monolithic Microwave Integrated Circuit (MMIC) amplifiers connected between two antennas and to improve tag identification, spread spectrum sequences are used, such as Barker codes. A proof-of-concept prototype at 24 GHz has been designed, using a low-power blind-spot Doppler radar installed in the car as the reader. The experimental results derived from the measurements carried out with a tag attached to a scooter in an urban environment have been obtained.
Presentation
Discussion
Resources
No resources available.
Session TU2.L2
TU2.L2.1: A 920 MHz UHF RFID Tag Antenna Produced by Drop Casting Ti3C2Tx MXene
Omid Niksan, University of British Columbia, Canada; Lingyi Bi, Yury Gogotsi, Drexel University, United States of America; Mohammad H. Zarifi, The University of British Columbia, Canada
TU2.L2.2: 3D Printed Radiofrequency Sensing System For Robotic Applications
Armin Gharibi, University of pisa, Italy; Mahmoud Tavakoli, André F. Silva, University of Coimbra, Portugal; Filippo Costa, Simone Genovesi, University of Pisa, Italy
TU2.L2.3: Spread Spectrum Modulated mm-Wave Tag for V2X Applications
Antonio Lazaro, Ramon Villarino, Marc Lazaro, David Gribau, Universitat Rovira i Virgili, Spain
TU2.L2.4: SAW-RFID SENSORS FOR INDUSTRIAL APPLICATIONS
Sami Hage-Ali, Prince Mengue, Baptiste Paulmier, Jordan Maufay, Ulrich Youbi, Cécile Floer, Hamid M'Jahed, Thierry Aubert, Omar Elmazria, Université de Lorraine, CNRS, France