## Appendix B
(2017) [PERSON]; [PERSON]; [PERSON] [PERSON] A Survey of GNSS-Based Research and Developments for the European Railway Signaling. _IEEE Trans. Intell. Transp. Syst._**2017**, _18_, 2602-2618. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON] Design and Implementation of Vehicle Tracking System using GPS/GSM/GPRS Technology and Smartphone Application. In Proceedings of the 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, 6-8 March 2014; pp. 353-358. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Vehicle Inertial Tracking via Mobile Crowdsensing: Experience and Enhancement. _IEEE Trans. Instrum. Meas._**2022**, _71_, 1-13. [CrossRef]
* [PERSON] and [PERSON] (2011) [PERSON]; [PERSON] Improving Scientific of Vehicle's Trajectory Using the Latest Global Positioning System with Kalman Filtering. _IEEE Trans. Instrum. Meas._**2011**, _60_, 3747-3755. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Glow in the Dark: Smartphone Inertial Odometry for Vehicle Tracking in GPS Blocked Environments. _IEEE Internet Things J._**2021**, \(8\), 12955-12967. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Identifying Modes of Driving Railway Trains from GPS Trajectory Data: An Ensemble Classifier-based Approach. _ISPRS Int. J.-Geo-Inf._**2018**, \(7\), 308. [CrossRef]* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] High-Speed Train Positioning Using Deep Kalman Filter with 5G NR Signals. _IEEE Trans. Intell. Transp. Syst._ 2022, _early access._ [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] Deep Learning-Enabled Fusion to Bridge GPS Outages for INS/GPS Integrated Navigation. _IEEE Sens. J._**2022**, _22_, 8974-8985. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep-Learning-Based Intelligent Intervehicle Distance Control for 6G-Enabled Cooperative Autonomous Driving. _IEEE Internet Things J._**2021**, \(8\), 15180-15190. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON] High Mobility Wireless Communications with Doppler Diversity: Fundamental Performance Limits. _IEEE Trans. Wirel. Commun._**2015**, _14_, 6981-6992. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Channel Estimation for Reconfigurable Intelligent Surface-AssistedWireless Communications Considering Doppler Effect. _IEEE Wirel. Commun. Lett._**2020**, _10_, 790-794. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Doppler Mitigation Method Aided by Reconfigurable Intelligent Surfaces for High-Speed Channels. _IEEE Wirel. Commun. Lett._**2022**, _11_, 627-631. [CrossRef]
* [PERSON] (1946) [PERSON] A Note on A Simple Transmission Formula. _Proc. IRE_**1946**, _34_, 254-256. [CrossRef]
* [PERSON] (2020) [PERSON]; [PERSON] How Much do Hardware Imperfections Affect the Performance of Reconfigurable Intelligent Surface-assisted Systems? _IEEE Open J. Commun. Soc._**2020**, \(1\), 1185-1195. [CrossRef]
* [PERSON] (2020) [PERSON]; [PERSON] Communication through a Large Reflecting Surface with Phase Errors. _IEEE Wirel. Commun. Lett._**2020**, \(9\), 184-188. [CrossRef]
* [PERSON] (2008) [PERSON] _Principles of Digital Communication_; Cambridge University Press: Cambridge, UK, 2008; Volume 1. * (43) 3 GPP TR 38.913. Technical Specification Group Radio Access Network; Study on Scenarios and 562 Requirements for Next Generation Access Technologies (Release 14). Technical Report. The 3 rd Generation Partnership Project, 2016. Available online: [[https://www.ets.org/deliver/etsi_tr/138900_138999/138913/14.02.00_60/tr_138913v140200p.pdf](https://www.ets.org/deliver/etsi_tr/138900_138999/138913/14.02.00_60/tr_138913v140200p.pdf)]([https://www.ets.org/deliver/etsi_tr/138900_138999/138913/14.02.00_60/tr_138913v140200p.pdf](https://www.ets.org/deliver/etsi_tr/138900_138999/138913/14.02.00_60/tr_138913v140200p.pdf)) (accessed on 26 May 2022).