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A New Indoor Positioning System Using Artificial Encoded Magnetic Fields

Published online by Cambridge University Press:  11 October 2017

Falin Wu ,
Yuan Liang Open the ORCID record for Yuan Liang [Opens in a new window] ,
Yong Fu  and
Chenghao Geng
Falin Wu
Affiliation:
(School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China)
Yuan Liang*
Affiliation:
(School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China)
Yong Fu
Affiliation:
(School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China)
Chenghao Geng
Affiliation:
(School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China)
*
(E-mail: liangyuan@buaa.edu.cn)
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Abstract

The demand for accurate indoor positioning continues to grow but the predominant positioning technologies such as Global Navigation Satellite Systems (GNSS) are not suitable for indoor environments due to multipath effects and Non-Line-Of-Sight (NLOS) conditions. This paper presents a new indoor positioning system using artificial encoded magnetic fields, which has good properties for NLOS conditions and fewer multipath effects. The encoded magnetic fields are generated by multiple beacons; each beacon periodically generates unique magnetic field sequences, which consist of a gold code sequence and a beacon location sequence. The position of an object can be determined with measurements from a tri-axial magnetometer using a three-step method: performing time synchronisation between sensor and beacons, identifying the beacon field and the beacon location, and estimating the position of the object. The results of the simulation and experiment show that the proposed system is capable of achieving Two-Dimensional (2D) and Three-Dimensional (3D) accuracy at sub-decimetre and decimetre levels, respectively.

Keywords

Indoor positioningMagnetic fieldMagnetometer
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 2 , March 2018 , pp. 299 - 316
Copyright
Copyright © The Royal Institute of Navigation 2017 

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