Work

INS-aided GNSS jamming protection in support of resilient train positioning

Year: 2025

Type: article

Abstract: Railway safety and efficiency increasingly rely on precise train positioning. The integration of Global Navigation Satellite System (GNSS) into railway control systems aims to reduce dependence on track-side infrastructure. While GNSS has significantly improved train localization, challenges such as the susceptibility to jamming remain. To address this, this paper introduces an INS-aided train positioning system based on deep integration, exploring its performance through semi-physical experiments and simulations. Experimental results demonstrate that the proposed solution is able to reduce the positioning error by 63.47%, and the velocity error by 58.47% under jamming conditions. The study highlights the potential of deep integration for improving the resilience of GNSS-based train control systems, especially in the face of RF jamming threats.

Source: High-speed Railway

DOI: 10.1016/j.hspr.2025.05.004

Authors: Zhuojian Cao, Jiang Liu, Wei Jiang, Baigen Cai

Institution: Beijing Jiaotong University

Language: English

Topic: GNSS positioning and interference

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality