Articles | Volume 8, issue 1
https://doi.org/10.5194/jsss-8-171-2019
https://doi.org/10.5194/jsss-8-171-2019
Review paper
 | 
24 Apr 2019
Review paper |  | 24 Apr 2019

Inductive localization accuracy of a passive 3-D coil in an Industry 4.0 environment

Rafael Psiuk, Alfred Müller, Daniel Cichon, Albert Heuberger, Hartmut Brauer, and Hannes Töpfer

Related authors

Comparison of defect detection limits in Lorentz force eddy current testing and classical eddy current testing
Jan Marc Otterbach, Reinhard Schmidt, Hartmut Brauer, Marek Ziolkowski, and Hannes Töpfer
J. Sens. Sens. Syst., 7, 453–459, https://doi.org/10.5194/jsss-7-453-2018,https://doi.org/10.5194/jsss-7-453-2018, 2018
Short summary
Indoor localization: novel RSSI approach based on analytical solution and two receivers
Ahmad Warda, Bojana Petković, and Hannes Töpfer
J. Sens. Sens. Syst., 6, 375–380, https://doi.org/10.5194/jsss-6-375-2017,https://doi.org/10.5194/jsss-6-375-2017, 2017
Short summary
Scanning method for indoor localization using the RSSI approach
Ahmad Warda, Bojana Petković, and Hannes Toepfer
J. Sens. Sens. Syst., 6, 247–251, https://doi.org/10.5194/jsss-6-247-2017,https://doi.org/10.5194/jsss-6-247-2017, 2017
Short summary

Related subject area

Measurement theory, uncertainty and modeling of measurements: Measurement theory and science
Validation of SI-based digital data of measurement using the TraCIM system
Daniel Hutzschenreuter, Bernd Müller, Jan Henry Loewe, and Rok Klobucar
J. Sens. Sens. Syst., 10, 289–295, https://doi.org/10.5194/jsss-10-289-2021,https://doi.org/10.5194/jsss-10-289-2021, 2021
Short summary
Referencing of powder bed for in situ detection of lateral layer displacements in additive manufacturing
Martin Lerchen, Julien Schinn, and Tino Hausotte
J. Sens. Sens. Syst., 10, 247–259, https://doi.org/10.5194/jsss-10-247-2021,https://doi.org/10.5194/jsss-10-247-2021, 2021
Short summary
Methods and procedure of referenced in situ control of lateral contour displacements in additive manufacturing
Martin Lerchen, Jakob Hornung, Yu Zou, and Tino Hausotte
J. Sens. Sens. Syst., 10, 219–232, https://doi.org/10.5194/jsss-10-219-2021,https://doi.org/10.5194/jsss-10-219-2021, 2021
Short summary
Absolute calibration of the spectral responsivity of thermal detectors in the near-infrared (NIR) and mid-infrared (MIR) regions by using blackbody radiation
Tobias Pohl, Peter Meindl, Lutz Werner, Uwe Johannsen, Dieter Taubert, Christian Monte, and Jörg Hollandt
J. Sens. Sens. Syst., 10, 109–119, https://doi.org/10.5194/jsss-10-109-2021,https://doi.org/10.5194/jsss-10-109-2021, 2021
Short summary
Explaining to different audiences the new definition and experimental realizations of the kilogram
Joaquín Valdés
J. Sens. Sens. Syst., 10, 1–4, https://doi.org/10.5194/jsss-10-1-2021,https://doi.org/10.5194/jsss-10-1-2021, 2021
Short summary

Cited articles

Arumugam, D., Griffin, J., and Stancil, D.: Magneto-Quasistatic Tracking of an American Football: A Goal-Line Measurement, IEEE Antenn. Propag. M, 55, 137–146, 2013. a, b
Arvo, J.: Fast random rotation matrices, in: Graphics Gems III (IBM Version), Academic Press, Cambridge, USA, 117–120, 1992. a
Baechler, A., Baechler, L., Autenrieth, S., Kurtz, P., Hoerz, T., Heidenreich, T., and Kruell, G.: A Comparative Study of an Assistance System for Manual Order Picking – Called Pick-by-Projection – with the Guiding Systems Pick-by-Paper, Pick-by-Light and Pick-by-Display, 2016 49th Hawaii International Conference on System Sciences (HICSS), Koloa, USA, 5–8 January, 523–531, 2016. a
Brauer, H., Haueisen, J., and Ziolkowski, M.: Verification of magnetic field tomography inverse problem solutions using physical phantoms, 6th International Conference on Computational Electromagnetics, Aachen, Germany, 4–6 April, 225–226, 2006. a
Bronshtein, I., Semendyayev, K., Musiol, G., and Mühlig, H.: Handbook of Mathematics, 4. edn., Springer, Berlin Heidelberg, Germany, 2004. a
Download
Short summary
In this article we have investigated how the arbitrary orientation of a passive localization object in a magnetic field affects that field. For that we have identified the two sources of uncertainty, the geometrical extent of the object and the field inhomogeneity, and have quantified their effect analytically. Based on that we have compared the performance of several localization algorithms on that field variation. Results show that a dipole model is sufficient for the localization algorithm.