Characterization of Vehicle to Pedestrian Correlation Properties

Makhoul, Gloria; D’Errico, Raffaele; Oestges, Claude

doi:10.1109/ieeeconf35879.2020.9330040

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2023

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“…The authors extended this work to a LoS/Non-LoS (NLoS) scenario in [22], where a multi-slope log-distance path loss model is proposed. The authors in [23] investigated the autocorrelation function of the V2P channel in LoS and partial LoS scenarios. According to their findings, the channel decorrelates rapidly in time domain which indicates a non-stationary behavior of the V2P channel.…”

Section: A Related Workmentioning

confidence: 99%

Geometry-based Stochastic Channel Model for Vehicle-to-vulnerable Road Users Communications in Critical Scenarios - Part I: Parameterization

Rashdan¹,

Müller²,

Sand³

et al. 2023

Preprint

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<p>This work presents the first complete parameterization for WINNER-type geometry-based stochastic channel model (GSCM) at 5.2 GHz based on channel measurements. In order to parameterize the GSCM channel model, the large scale parameters (LSPs) and their correlations are estimated in the log domain. The results show that the log-normal distribution provides a good fit to the distributions of the LSPs. The proposed model parameterization can be used to generate synthetic channel instances which are required to develop and evaluate V2VRU communication systems and collision avoidance algorithms in critical accident scenarios.</p>

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Section: A Related Workmentioning

confidence: 99%