Next Article in Journal
Smart Sticker Ultra-Low-Power Shock Detection in the Supply Chain
Previous Article in Journal
Power Line Communication with Robust Timing and Carrier Recovery against Narrowband Interference for Smart Grid
Previous Article in Special Issue
Real-Time Map Matching with a Backtracking Particle Filter Using Geospatial Analysis
 
 
Article

Analysis of Magnetic Field Measurements for Indoor Positioning †

Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, Université d’Orléans, 12 Rue de Blois, 45067 Orleans, France
*
Author to whom correspondence should be addressed.
This paper is an extended version of our conference paper: Ouyang, G.; Abed-Meraim, K. Analysis of Magnetic Field Measurements for Mobile Localisation. In Proceedings of the 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Lloret de Mar, Spain, 29 November–2 December 2021; pp. 1–8, doi:10.1109/IPIN51156.2021.9662551.
Karim Abed-Meraim is a member of Institut Universitaire de France (IUF).
Academic Editors: Antoni Perez-Navarro, Raúl Montoliu and Joaquín Torres-Sospedra
Sensors 2022, 22(11), 4014; https://doi.org/10.3390/s22114014
Received: 28 March 2022 / Revised: 16 May 2022 / Accepted: 23 May 2022 / Published: 25 May 2022
(This article belongs to the Special Issue Advances in Indoor Positioning and Indoor Navigation)
Infrastructure-free magnetic fields are ubiquitous and have attracted tremendous interest in magnetic field-based indoor positioning. However, magnetic field-based indoor positioning applications face challenges such as low discernibility, heterogeneous devices, and interference from ferromagnetic materials. This paper first analyzes the statistical characteristics of magnetic field (MF) measurements from heterogeneous smartphones. It demonstrates that, in the absence of disturbances, the MF measurements in indoor environments follow a Gaussian distribution with temporal stability and spatial discernibility. It shows the fluctuations in magnetic field intensity caused by the rotation of a smartphone around the Z-axis. Secondly, it suggests that the RLOWESS method can be used to eliminate magnetic field anomalies, using magnetometer calibration to ensure consistent MF measurements in heterogeneous smartphones. Thirdly, it tests the magnetic field positioning performance of homogeneous and heterogeneous devices using different machine learning methods. Finally, it summarizes the feasibility/limitations of using only MF measurement for indoor positioning. View Full-Text
Keywords: magnetic field; smartphone; magnetometer calibration; indoor positioning magnetic field; smartphone; magnetometer calibration; indoor positioning
Show Figures

Figure 1

MDPI and ACS Style

Ouyang, G.; Abed-Meraim, K. Analysis of Magnetic Field Measurements for Indoor Positioning. Sensors 2022, 22, 4014. https://doi.org/10.3390/s22114014

AMA Style

Ouyang G, Abed-Meraim K. Analysis of Magnetic Field Measurements for Indoor Positioning. Sensors. 2022; 22(11):4014. https://doi.org/10.3390/s22114014

Chicago/Turabian Style

Ouyang, Guanglie, and Karim Abed-Meraim. 2022. "Analysis of Magnetic Field Measurements for Indoor Positioning" Sensors 22, no. 11: 4014. https://doi.org/10.3390/s22114014

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop