Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-23T11:16:31.567Z Has data issue: false hasContentIssue false
  • English
  • Français

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)
Get access Rights & Permissions [Opens in a new window]

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Abrudan, T., Xiao, Z., Markham, A. and Trigoni, N. (2015). Distortion Rejecting Magneto-Inductive 3-D Localization (MagLoc). IEEE Journal on Selected Areas in Communications, 33, 2404–2417.CrossRefGoogle Scholar
Bernieri, A., Betta, G., Ferrigno, L. and Laracca, M. (2013). A novel biaxial probe implementing multifrequency excitation and SVM processing for NDT. Proceedings of the 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis, Minnesota, USA. Google Scholar
Blankenbach, J. and Norrdine, A. (2010). Position estimation using artificial generated magnetic fields. Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Switzerland. Google Scholar
Blankenbach, J., Norrdine, A. and Hellmers, H. (2012). A robust and precise 3D indoor positioning system for harsh environments. Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sydney, Australia. Google Scholar
Hu, C., Li, M., Song, S., Yang, W.A., Zhang, R. and Meng, M. Q. H. (2010). A Cubic 3-Axis Magnetic Sensor Array for Wirelessly Tracking Magnet Position and Orientation. IEEE Sensors Journal, 10, 903–913.Google Scholar
Kong, E.M.C., Kwon, D.W., Schweighart, S.A., Elias, L.M., Sedwick, R.J. and Miller, D.W. (2004). Electromagnetic formation flight for multisatellite arrays. Journal of Spacecraft and Rockets, 41, 659–666.CrossRefGoogle Scholar
Markley, F.L. (1987). Attitude determination using vector observations and the singular value decomposition. Journal of the Astronautical Sciences, 38, 245–258.Google Scholar
Misra, P. and Enge, P. (2006). Global Positioning System: Signals, Measurements and Performance Second Edition. Lincoln, MA: Ganga-Jamuna Press.Google Scholar
Pasku, V., De Angelis, A., Dionigi, M., De Angelis, G., Moschitta, A. and Carbone, P. (2015). A Positioning System Based on Low Frequency Magnetic Fields. IEEE Transactions on Industrial Electronics, 63, 2457–2468.Google Scholar
Prigge, E.A. (2004). A positioning system with no line-of-sight restrictions for cluttered environments. Stanford University.Google Scholar
Prigge, E.A. and How, J.P. (2004). Signal architecture for a distributed magnetic local positioning system. IEEE Sensors Journal, 4, 864–873.Google Scholar
Pursley, M.B. (1977). Performance evaluation for phase-coded spread-spectrum multiple-access communication. i-system analysis. IEEE Transactions on Communications, 25, 795–799.CrossRefGoogle Scholar
Reitz, J.R., Milford, F.J. and Christy, R.W. (2008). Foundations of Electromagnetic Theory (4th Edition). Addison-Wesley Publishing Company.Google Scholar
Sheinker, A., Ginzburg, B., Salomonski, N., Frumkis, L. and Kaplan, B.Z. (2013a). Localization in 2D Using Beacons of Low Frequency Magnetic Field. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 1020–1030.Google Scholar
Sheinker, A., Ginzburg, B., Salomonski, N., Frumkis, L. and Kaplan, B.Z. (2013b). Localization in 3-D Using Beacons of Low Frequency Magnetic Field. IEEE Transactions on Instrumentation and Measurement, 62, 3194–3201.Google Scholar
Song, S., Hu, C., Li, M., Yang, W. and Meng, M.Q.H. (2009). Real time algorithm for magnet's localization in capsule endoscope. Proceedings of the 2009 IEEE International Conference on Automation and Logistics, Shenyang, China.Google Scholar