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Measurement-based geometrical characterisation of the vehicle-to-vulnerable-road-user communication channel

Vehicle-to-vulnerable-road-user (V2VRU) communications have the ability to provide $360^\circ $360° of awareness to both vehicles and vulnerable road users to prevent accidents. An accurate V2VRU channel model in critical accident scenarios is essential to develop a reliable communications system. T...

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Bibliographic Details
Published in:IET microwaves, antennas & propagation antennas & propagation, 2020-11, Vol.14 (14), p.1700-1710
Main Authors: Rashdan, Ibrahim, Ponte Müller, Fabian de, Sand, Stephan, Jost, Thomas, Caire, Giuseppe
Format: Article
Language:English
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Summary:Vehicle-to-vulnerable-road-user (V2VRU) communications have the ability to provide $360^\circ $360° of awareness to both vehicles and vulnerable road users to prevent accidents. An accurate V2VRU channel model in critical accident scenarios is essential to develop a reliable communications system. Therefore, extensive wideband single-input and single-output channel measurement campaigns at 5.2 GHz were carried out in open-field and urban environments. Accident prone scenarios between a vehicle and a cyclist as well as between a vehicle and a pedestrian are considered. In this study, locations of the scatterers in the propagation environment are estimated. The authors propose a method to extract specular multipath components (MPCs) from the estimated time-variant channel impulse response based on the density of neighbouring MPCs. The specular MPCs are then tracked using a novel tracking algorithm based on the multipath component distance approach. Each path is then related to a physical scatterer in the propagation environment by employing a joint delay-Doppler estimation. According to the results, single and double bounce reflections from buildings and parked vehicles are identified in line-of-sight (LoS) situation. In non-LoS(NLoS) situation, scattering from nearby trees as well as reflections from traffic signs and lampposts beneath the trees canopy are identified.
ISSN:1751-8725
1751-8733
DOI:10.1049/iet-map.2019.0949