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Non-Stationarity Analysis of Vehicle-to-Vulnerable Road Users Channel in Critical Scenarios

Rashdan, Ibrahim and Sand, Stephan and jiang, suying and Wang, Wei and Caire, Giuseppe (2023) Non-Stationarity Analysis of Vehicle-to-Vulnerable Road Users Channel in Critical Scenarios. EuCAP 2023, Florence, Italy.

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Direct vehicle-to-vulnerable road users (V2VRU) communication can prevent accidents by providing 360◦ awareness and improving detection, localization, and tracking of both vehicles and VRUs. Having a realistic channel is a prerequisite for developing a reliable V2VRU communication system. In order to parameterize a geometry-based stochastic channel model (GSCM), it is important to determine the length of local quasi-stationarity regions. Therefore, in this work, the non-stationarity of the V2VRU channel is analyzed by estimating the generalized local scattering function (GLSF) and its collinearity based on the channel measurement data. The estimated stationarity distance is presented for the three most critical accident scenarios in urban environment. We find that the observed rapid fluctuations of the stationarity distance are mainly caused by the sudden change in the Doppler domain at the collision point, strong multipath, and the blockage of the line of sight by parked vehicles.

Item URL in elib:https://elib.dlr.de/193193/
Document Type:Conference or Workshop Item (Speech)
Title:Non-Stationarity Analysis of Vehicle-to-Vulnerable Road Users Channel in Critical Scenarios
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Rashdan, IbrahimUNSPECIFIEDhttps://orcid.org/0000-0001-9208-8078UNSPECIFIED
Sand, StephanUNSPECIFIEDhttps://orcid.org/0000-0001-9502-5654UNSPECIFIED
jiang, suyingChang’an UniversityUNSPECIFIEDUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:V2VRU communication, V2P, vulnerable road users, channel model, non-stationarity, GLSF.
Event Title:EuCAP 2023
Event Location:Florence, Italy
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Rashdan, Ibrahim
Deposited On:23 Jan 2023 16:24
Last Modified:28 Jul 2023 14:37

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