支持弹性列车定位的ins辅助GNSS干扰保护

Zhuojian Cao , Jiang Liu , Wei Jiang , Baigen Cai
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引用次数: 0

摘要

铁路的安全和效率越来越依赖于列车的精确定位。将全球导航卫星系统(GNSS)整合到铁路控制系统中,旨在减少对轨道侧基础设施的依赖。虽然GNSS显著改善了列车定位,但仍然存在诸如易受干扰等挑战。针对这一问题,本文介绍了一种基于深度集成的惯性导航辅助列车定位系统,并通过半物理实验和仿真对其性能进行了探讨。实验结果表明,在干扰条件下,该方案能将定位误差降低63.47 %,速度误差降低58.47 %。该研究强调了深度集成在提高基于gnss的列车控制系统弹性方面的潜力,特别是在面对射频(RF)干扰威胁时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INS-aided GNSS jamming protection in support of resilient train positioning
Railway safety and efficiency increasingly rely on precise train positioning. The integration of the 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 Inertial Navigation System (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 Radio Frequency (RF) jamming threats.
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