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Subject

Characteristic analysis of geomagnetic field for in-door positioning in railway station
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철도역사의 실내 위치측위를 위한 지구자기장 측정시험 및 특성 분석

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Type
Academic journal
Author
Jong-Gyu Hwang (한국철도기술연구원) Tae-Hyung Lee (한국철도기술연구원) Kyung-Hee Kim (한국철도기술연구원) Tae-Ki Ahn (한국철도기술연구원)
Journal
The Korean Institute of Electrical Engineers THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P Vol.68P No.2
Published
2019.6
Pages
76 - 82 (7page)
DOI
10.5370/KIEEP.2019.68.2.076

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Characteristic analysis of geomagnetic field for in-door positioning in railway station
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In recent years, railway station has changed into a complex station connecting with other routes, so there are many difficulties for railway station users to find their destination in the railway station. Especially, the mobility handicapped has difficulty in finding a destination point. Accordingly, a variety of services for improving mobility are required within the stations of railway station users including the handicapped, these services basically require the indoor positioning technology of the railway station. In this paper, the applicability of the fingerprinting method based on the measurement of the geomagnetic field strength, which is the most economical and accurate method among the methods for indoor positioning in the railway stations, is analyzed through experiments. Experiments were carried out in the platform section and the waiting room section of the metro station with two floors underground, and In order to confirm the change of the geomagnetic signal according to the running of the train, various cases such as the case where the train entered the platform, the case where the train was not at the station were measured and et al. Through these experiments, this paper confirmed that the fingerprinting method based on the geomagnetic field signal, which is widely used in the general industry, is applicable to the indoor positioning of the railway station.

Contents

Abstract
1. 서론
2. 실내 측위기술의 분석
3. 지자계기반 핑거프린팅 방식
4. 철도역사의 실내측위 시험 및 분석
5. 실험결과
6. 결론
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UCI(KEPA) : I410-ECN-0101-2019-560-000728034