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New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable

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New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable. / Yin, Lu; Song, Tianzhu; Ni, Qiang et al.
In: IEEE Journal on Selected Areas in Communications, Vol. 42, No. 1, 01.01.2024, p. 223 - 238.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Yin, L, Song, T, Ni, Q, Xiao, Q, Sun, Y & Guo, W 2024, 'New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable', IEEE Journal on Selected Areas in Communications, vol. 42, no. 1, pp. 223 - 238. https://doi.org/10.1109/jsac.2023.3322790

APA

Yin, L., Song, T., Ni, Q., Xiao, Q., Sun, Y., & Guo, W. (2024). New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable. IEEE Journal on Selected Areas in Communications, 42(1), 223 - 238. https://doi.org/10.1109/jsac.2023.3322790

Vancouver

Yin L, Song T, Ni Q, Xiao Q, Sun Y, Guo W. New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable. IEEE Journal on Selected Areas in Communications. 2024 Jan 1;42(1):223 - 238. Epub 2023 Oct 9. doi: 10.1109/jsac.2023.3322790

Author

Yin, Lu ; Song, Tianzhu ; Ni, Qiang et al. / New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable. In: IEEE Journal on Selected Areas in Communications. 2024 ; Vol. 42, No. 1. pp. 223 - 238.

Bibtex

@article{8195fa4dd20d41398bf91498a8fc7a50,
title = "New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable",
abstract = "High precision train positioning is a crucial component of intelligent transportation systems. Tunnels are commonly encountered in subways and mountainous regions. As part of the communication system infrastructure, Leaky CoaXial (LCX) Cable is widely equipped as antenna in tunnels with many advantages. LCX positioning holds great promise as a technology for rail applications in the upcoming B5G (beyond-5G) and 6G eras. This paper focuses on the LCX positioning methodology and proposes two novel algorithms along with a novel communication-positioning integration signal. Firstly, a novel algorithm called Multiple Slot Distinction (MSD) LCX positioning algorithm is proposed. The algorithm utilizes a generated pseudo spectrum to fully utilize the coupled signals radiated from different slots of LCX. This approach offers higher time resolution compared to traditional methods. To further improve the positioning accuracy to centimeter-level and increase the measuring frequency for fast trains, a novel communication-positioning integration signal is designed. It consists of traditional Positioning Reference Signal (PRS) and a significantly low power Fine Ranging Signal (FRS). FRS is configured to be continuous and superposed onto the cellular signal using Non-Orthogonal Multiple Access (NOMA) principle to minimize its interference to communication. A two-stage LCX positioning method is then executed: At the first stage, the closest slot between the receiver and LCX is estimated by the proposed MSD algorithm using PRS; At the second stage, centimeter-level positioning is achieved by tracking the carrier phase of the continuous FRS. This process is assisted by the closest slot estimation, which helps mitigate interference between neighboring slots and eliminate the integer ambiguities. Simulation results show our proposed LCX position methodology outperforms the existing ones and offer great potentials for future implementations.",
keywords = "5G/6G, Conductors, Distance measurement, Electric fields, Interference, NOMA, Rails, Receiving antennas, Train Positioning, fine ranging signal, leaky coaxial cable, non-orthogonal multiple access",
author = "Lu Yin and Tianzhu Song and Qiang Ni and Quanbin Xiao and Yuan Sun and Wenfang Guo",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/jsac.2023.3322790",
language = "English",
volume = "42",
pages = "223 -- 238",
journal = "IEEE Journal on Selected Areas in Communications",
issn = "0733-8716",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "1",

}

RIS

TY - JOUR

T1 - New Signal and Algorithms for 5G/6G High Precision Train Positioning in Tunnel with Leaky Coaxial Cable

AU - Yin, Lu

AU - Song, Tianzhu

AU - Ni, Qiang

AU - Xiao, Quanbin

AU - Sun, Yuan

AU - Guo, Wenfang

PY - 2024/1/1

Y1 - 2024/1/1

N2 - High precision train positioning is a crucial component of intelligent transportation systems. Tunnels are commonly encountered in subways and mountainous regions. As part of the communication system infrastructure, Leaky CoaXial (LCX) Cable is widely equipped as antenna in tunnels with many advantages. LCX positioning holds great promise as a technology for rail applications in the upcoming B5G (beyond-5G) and 6G eras. This paper focuses on the LCX positioning methodology and proposes two novel algorithms along with a novel communication-positioning integration signal. Firstly, a novel algorithm called Multiple Slot Distinction (MSD) LCX positioning algorithm is proposed. The algorithm utilizes a generated pseudo spectrum to fully utilize the coupled signals radiated from different slots of LCX. This approach offers higher time resolution compared to traditional methods. To further improve the positioning accuracy to centimeter-level and increase the measuring frequency for fast trains, a novel communication-positioning integration signal is designed. It consists of traditional Positioning Reference Signal (PRS) and a significantly low power Fine Ranging Signal (FRS). FRS is configured to be continuous and superposed onto the cellular signal using Non-Orthogonal Multiple Access (NOMA) principle to minimize its interference to communication. A two-stage LCX positioning method is then executed: At the first stage, the closest slot between the receiver and LCX is estimated by the proposed MSD algorithm using PRS; At the second stage, centimeter-level positioning is achieved by tracking the carrier phase of the continuous FRS. This process is assisted by the closest slot estimation, which helps mitigate interference between neighboring slots and eliminate the integer ambiguities. Simulation results show our proposed LCX position methodology outperforms the existing ones and offer great potentials for future implementations.

AB - High precision train positioning is a crucial component of intelligent transportation systems. Tunnels are commonly encountered in subways and mountainous regions. As part of the communication system infrastructure, Leaky CoaXial (LCX) Cable is widely equipped as antenna in tunnels with many advantages. LCX positioning holds great promise as a technology for rail applications in the upcoming B5G (beyond-5G) and 6G eras. This paper focuses on the LCX positioning methodology and proposes two novel algorithms along with a novel communication-positioning integration signal. Firstly, a novel algorithm called Multiple Slot Distinction (MSD) LCX positioning algorithm is proposed. The algorithm utilizes a generated pseudo spectrum to fully utilize the coupled signals radiated from different slots of LCX. This approach offers higher time resolution compared to traditional methods. To further improve the positioning accuracy to centimeter-level and increase the measuring frequency for fast trains, a novel communication-positioning integration signal is designed. It consists of traditional Positioning Reference Signal (PRS) and a significantly low power Fine Ranging Signal (FRS). FRS is configured to be continuous and superposed onto the cellular signal using Non-Orthogonal Multiple Access (NOMA) principle to minimize its interference to communication. A two-stage LCX positioning method is then executed: At the first stage, the closest slot between the receiver and LCX is estimated by the proposed MSD algorithm using PRS; At the second stage, centimeter-level positioning is achieved by tracking the carrier phase of the continuous FRS. This process is assisted by the closest slot estimation, which helps mitigate interference between neighboring slots and eliminate the integer ambiguities. Simulation results show our proposed LCX position methodology outperforms the existing ones and offer great potentials for future implementations.

KW - 5G/6G

KW - Conductors

KW - Distance measurement

KW - Electric fields

KW - Interference

KW - NOMA

KW - Rails

KW - Receiving antennas

KW - Train Positioning

KW - fine ranging signal

KW - leaky coaxial cable

KW - non-orthogonal multiple access

U2 - 10.1109/jsac.2023.3322790

DO - 10.1109/jsac.2023.3322790

M3 - Journal article

VL - 42

SP - 223

EP - 238

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

SN - 0733-8716

IS - 1

ER -