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Current Chinese Science

Editor-in-Chief

ISSN (Print): 2210-2981
ISSN (Online): 2210-2914

Research Article Section: Computer Science

Impact and Protection of GNSS Interference: Resilient Positioning in Next Generation Satellite-Based Railway Train Control

Author(s): Jiang Liu*, Bai-Gen Cai, Jian Wang and De-Biao Lu

Volume 1, Issue 6, 2021

Published on: 22 September, 2021

Page: [559 - 573] Pages: 15

DOI: 10.2174/2210298101666210922143141

Abstract

Background: The Global Navigation Satellite System (GNSS) has great potentials in next-generation railway train control systems. Considering the fail-safe characteristics of train control, the threat from GNSS interference may result in an increasing likelihood of outages of train positioning or even safety risks to the railway system.

Objective: The interference protection solutions are investigated and demonstrated for achieving the resilient train positioning using GNSS.

Methods: This paper describes the main types of GNSS interference and investigates the impact on Location Determination Unit (LDU) in the GNSS-based train control system. Specific architectures and solutions for interference detection and protection in both the position domain and measurement domain are presented.

Results: Interference injection simulations are performed with both the GNSS spoofing and jamming signals, which evaluate the effects of interferences and demonstrate the protection performance of the presented solutions under GNSS attack scenarios.

Conclusion: The interference protection solutions within both the position domain and measurement domain are effective and significant to mitigate the effects from the GNSS interference, which enables resilient train positioning to achieve safe train operation.

Keywords: Railway transportation, train control, satellite navigation, interference attack, resilient positioning, GNSS.

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