5G mmWave Vehicular Tracking

Abstract

Vehicle positioning based on GPS is limited due to multipath and blockage. 5G nunWave signals can provide an attractive complement, as it is possible to estimate the stale of a vehicle (position and heading) from transmissions from a single base station. We propose a Bayesian 5G nunWave tracking filter, which explicitly relies on mapping the radio environment. The filter thus solves a novel type of simultaneous localization and mapping problem, which enables estimating not only the vehicle heading and position, but also its clock bias.