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Study of Train-Side Passive Magnetic Measurements with Applications to Train Localization
] DLR German Aerosp Ctr, Inst Commun & Nav, Oberpfaffenhofen, Germany.ORCID iD: 0000-0001-5191-5997
] DLR German Aerosp Ctr, Inst Commun & Nav, Oberpfaffenhofen, Germany.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-2106-2457
2017 (English)In: Journal of Sensors, ISSN 1687-725X, E-ISSN 1687-7268, Vol. 2017, article id 8073982Article in journal (Refereed) Published
Abstract [en]

Passive magnetic sensors measure the magnetic field density in three axes and are often integrated on a single chip. These low-cost sensors are widely used in car navigation as well as in battery powered navigation equipment such as smartphones as part of an electronic compass. We focus on a train localization application with multiple, exclusively onboard sensors and a track map. This approach is considered as a base technology for future railway applications such as collision avoidance systems or autonomous train driving. In this paper, we address the following question: how beneficial are passive magnetic measurements for train localization? We present and analyze measurements of two different magnetometers recorded on a regional train at regular passenger service. We show promising correlations of the measurements with the track positions and the traveled switch way. The processed data reveals that the railway environment has repeatable, location-dependent magnetic signatures. This is considered as a novel approach to train localization, as the use of these magnetic signals at first view is not obvious. The proposed methods based on passive magnetic measurements show a high potential to be integrated in new and existing train localization approaches.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2017. Vol. 2017, article id 8073982
Keywords [en]
Train Localization Magnetometer
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-138621DOI: 10.1155/2017/8073982ISI: 000403600600001OAI: oai:DiVA.org:liu-138621DiVA, id: diva2:1112312
Available from: 2017-06-20 Created: 2017-06-20 Last updated: 2017-07-10

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
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  • Other locale
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