Key Technology Research on Jointless Track Circuit in High-speed Railway

Xu, Bo; Ying, Tiejin; Li, Kun; Zhu, Linfu; Zheng, Kunlin; Ma, Sha

doi:10.1109/iciscae.2018.8666892

Cited by 6 publications

(2 citation statements)

References 1 publication

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“…To ensure the safe and efficient operation of the railway transportation system, it is critically important to acquire the precise location of each train in real time [1,2]. The current train positioning system mainly relies on track infrastructure and trackside equipment, including track circuits, axle counters, and balises [3][4][5][6][7][8][9]. However, these systems are plagued by high equipment installation and maintenance costs and need more capability for moving blocks.…”

Section: Introductionmentioning

confidence: 99%

MMW‐FC: A novel railway fastener detecting method based on millimetre wave radar for train positioning

Sun,

Li,

Yang

et al. 2024

IET Radar Sonar & Navi

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A novel method is proposed for rail fastener detection based on millimetre‐wave (mmWave) radar, mmWave radar fastener counter (MMW‐FC), which can accurately detect and record the fasteners in real‐time as the train traverses its route. Under circumstances where GNSS signals remain unavailable for prolonged durations, precise train localisation can be accomplished by correlating the number of fasteners derived from this method with the corresponding track map. Initially, MMW‐FC utilises fast Fourier transform and adaptive beamforming to focus the energy reflected from fasteners. Subsequently, it applies an adaptive template‐matching algorithm to detect each fastener. Furthermore, by leveraging known fastener spacing and the average time for trains to pass adjacent fasteners, the Kalman filter can execute precise speed tracking, used as a speed reference when adjusting the matching template adaptively. The experimental results indicate that the proposed method can precisely count the fasteners the train encounters in diverse road and speed conditions. The fastener counter maintains the Counting Error less than 0.067%, the speed error stays below 1.8 km/h, and the maximum values of the mean absolute error and root mean square error for speed are 0.7337 and 0.9584 km/h, respectively.

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Section: Introductionmentioning

confidence: 99%

MMW‐FC: A novel railway fastener detecting method based on millimetre wave radar for train positioning

Sun,

Li,

Yang

et al. 2024

IET Radar Sonar & Navi

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show abstract

“…According to the International Union of Railways, the expansion of the global HSR network is expected to exceed 80,000 km by 2030-2035. This presents a significant challenge in meeting the demanding standards for quality service [2]. In the wireless communication system design, coverage area plays a crucial role in determining the deployment of the communication infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Performance and Capacity Optimization for High Speed Railway Communications Using UAV-IRS Assisted Massive MIMO System

et al. 2023

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In this paper, we study the communication performance of applying unmanned aerial vehicles (UAVs) combined with intelligent reflective surfaces (IRS) in a high speed railway (HSR) scenario. This study investigates the design and performance of (multiple-input-multiple-output) MIMO systems with UAV and IRS assistance technology in high-mobility scenarios. Direct links between base stations (BS) and trains are often obstructed in suburban environments, especially in mountainous areas. We mount the IRS on the UAVs so that it can assist in the communication between the trains and the BS. With the help of the UAV-IRS, straight-line links can be established effectively, which greatly improves communication for train passengers. This paper considers the employment of large-scale antenna arrays at both the BS and train ends. Train passengers communicate with UAVs via antennas assembled on the roof of the train as gateways, which in turn communicate with the BS. We consider two types of antenna layouts on the train: all antennas are located in the center of the train named Co-located antennas (CA) layout and uniformly distributed along the train called distributed antennas (DA) layout. We can obtain the analytical up-link capacity by averaging over all locations in a cell for the above two layouts by considering the radio frequency consumption. Overall, the CA layout is found to be a better option for trains when attempting to maximize cell mean value of capacity, and DA layout achieves a more uniformly distribution of capacity over the entire cell. Ultimately, the best solution will depend on the specific requirements and constraints of the selected deployment scenario.

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Simulation and Analysis of Active Disturbance of Electrified Railway to Instrument Landing System

Lin¹,

Sun

Liang³

et al. 2019

2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

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Key Technology Research on Jointless Track Circuit in High-speed Railway

Cited by 6 publications

References 1 publication

MMW‐FC: A novel railway fastener detecting method based on millimetre wave radar for train positioning

MMW‐FC: A novel railway fastener detecting method based on millimetre wave radar for train positioning

Performance and Capacity Optimization for High Speed Railway Communications Using UAV-IRS Assisted Massive MIMO System

Simulation and Analysis of Active Disturbance of Electrified Railway to Instrument Landing System

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