Performance Analysis for Autonomous Vehicle 5g-Assisted Positioning in GNSS-Challenged Environments
Paper in proceedings, 2020

Standalone Global Navigation Satellite Systems (GNSS) are known to provide a positioning accuracy of a few meters in open sky conditions. This accuracy can drop significantly when the line-of-sight (LOS) paths to some GNSS satellites are obstructed, e.g., in urban canyons or underground tunnels. To overcome this issue, the general approach is usually to augment GNSS systems with other dedicated subsystems to help cover the gaps arising from obscured LOS. Positioning in 5G has attracted some attention lately, mainly due to the possibility to provide cm-level accuracy using 5G signals and infrastructure, effectively imposing no additional cost. In this paper, we study the hybridization of GNSS and 5G positioning in terms of achievable position and velocity error bounds. We focus on scenarios where satellite visibility is constrained by the environment geometry, and where the GNSS and 5G positioning systems fail to perform individually or provide prohibitively large error.


Z. Abu-Shaban

University of New South Wales (UNSW)

G. Seco-Granados

Universitat Autonoma de Barcelona (UAB)

Craig R. Benson

University of New South Wales (UNSW)

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020

996-1003 9109885

2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
Portland, USA,

Multidimensional coherent communications with microcombs

Swedish Research Council (VR), 2020-12-01 -- 2026-11-30.

Subject Categories

Communication Systems

Control Engineering

Signal Processing



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