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On-Board Electromagnetic Interference Field-Test and Evaluation of a Non-electrified Railway Regional Line

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Communication Technologies for Vehicles (Nets4Cars/Nets4Trains/Nets4Aircraft 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10222))

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Abstract

In order to assess the performance of the wireless communication systems, a railway line is characterised through the identification of electromagnetic interferences (EMI). The aim of this paper is to show the strategy to identify EMI on field as well as the results obtained. First, the need of the analysis and the objectives of the measurement campaign in a non-electrified Italian Regional Railway line between Caligari and San Gavino are shown. After that, the measurement setup developed for the tests is described. Then, the description of the measurement campaign carried out is exposed. Finally, the measurement results are presented. The results show that the frequency bands of GSM, UMTS and Italian 4G are in the frequency ranges where the highest powered signal (around 800 MHz–900 MHz, 1.8 GHz and 1.9 GHz), on the other hand GPS L1 and Galileo E1frequency band is not impacted by any kind of interference signal.

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Notes

  1. 1.

    This value implies that the AGC introduces a gain that is half the needed gain in standard operation.

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Acknowledgements

This research was supported by the ERSAT-EAV project [14] as part of the European H2020 framework of projects funded by the European Commission (EC) and managed by the European GNSS Agency (GSA).

The author want to express especial thanks to our ERSAT-EAV project colleagues from Ansaldo STS, RFI, Trenitalia and ESSP who allowed both measuring campaigns in the project’s framework and the use of their infrastructure.

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Correspondence to Jaizki Mendizabal .

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Mendizabal, J., De Miguel, G., Uranga, J., Sedano, B., Goya, J., Adin, I. (2017). On-Board Electromagnetic Interference Field-Test and Evaluation of a Non-electrified Railway Regional Line. In: Pirovano, A., et al. Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2017. Lecture Notes in Computer Science(), vol 10222. Springer, Cham. https://doi.org/10.1007/978-3-319-56880-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-56880-5_9

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