Measurement-based Geometrical Characterization of the Vehicle-to-Pedestrian Channel

Reliable vehicle-to-pedestrian (V2P) communications have the ability to provide both vehicles and vulnerable road users (VRUs) with 360 degree of awareness to avoid collisions. Accurate channel models are of immense importance for developing reliable communications systems. Therefore, an accurate channel model for the V2P communications is necessary. Our work is a step towards the development of a geometry-stochastic channel model (GSCM) for V2P communications and fills an existing gap in the literature. This paper presents first wideband channel characterization results. The Kalman enhanced super resolution tracking (KEST) algorithm is employed to track multipath components (MPCs) and estimate their parameters based on the measured data. The estimated parameters are then used to localize the scatterers in the propagation environment. We then analyze the occurrence of MPCs for a line-of-sight (LoS) and an obstructed LoS (OLoS) V2P link