Positioning estimation in public transport systems by leaky coaxial cables

Engelbrecht, Julia; Forster, Georg; Michler, Oliver; Collmann, Ralf

doi:10.1109/wpnc.2012.6268760

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…As a result, only the closer slots have significant impacts on the received signal. For the slots that are close to receiver, their Doppler shifts are close to 0 according to (15), which do not significantly affect the pseudo spectrum. Therefore, (20) degenerates to:…”

Section: B Position Estimation Through Pseudo Spectrummentioning

confidence: 99%

“…The LCX positioning can be classified into the fingerprintbased method and time-based method. Received Signal Strength Indicator (RSSI) or Channel State Information (CSI) is adopted as the fingerprint features to identify the positions by comparing the different feature patterns before and after a train passes [14], [15], [16]. In time-based methods, [17] proposes a Time-of-Arrival (TOA)-based LCX positioning method by using both the direct wave and the reflected wave from the end of LCX.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Yin,

Song,

et al. 2024

IEEE J. Select. Areas Commun.

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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 communicationpositioning 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 twostage 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.

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Section: B Position Estimation Through Pseudo Spectrummentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Yin,

Song,

et al. 2024

IEEE J. Select. Areas Commun.

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show abstract

Identifying human and tracking using WSN with webcam and GSM

Ranjithkumar¹,

Paranthaman²

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

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WSN-based passenger localization in severe NLOS environments using SDP

Weber

Gosda

Michler

et al. 2013

International Conference on Indoor Positioning and Indoor Navigation

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In this work we use wireless sensor networks (WSNs) to estimate positions for automated passenger registration with the purpose of an electronic ticketing application in public transport systems. The network is capable of measuring distances between the network's sensor nodes by phase-of-arrival (POA) ranging. In our application, the requirements regarding position accuracy are very demanding, due to the ranging biases caused by severe non-line-of-sight (NLOS) environments, i.e. highly reflective radio propagation. Hence, we suggest semidefinite programming (SDP) as a robust optimization algorithm for the localization process and apply a NLOS mitigation technique from literature to a modified cost function that may help to meet these requirements. Finally the proposed algorithm is compared with state-of-the-art positioning techniques. Testing with simulated and real measured data shows that the proposed SDP estimator outperforms the other positioning algorithms substantially, particularly in realistic NLOS environments

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Positioning estimation in public transport systems by leaky coaxial cables

Cited by 6 publications

References 9 publications

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

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

Identifying human and tracking using WSN with webcam and GSM

WSN-based passenger localization in severe NLOS environments using SDP

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