Optimal Experimental Design for In-Field Calibration of a Nine-Parameter Triaxial Magnetometers Model

Yu, H; Guo, Y; Ye, L; Su, SW

Optimal Experimental Design for In-Field Calibration of a Nine-Parameter Triaxial Magnetometers Model

Yu, H Guo, Y Ye, L Su, SW

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2024, 24, (11), pp. 17579-17587
Issue Date:: 2024-06-01

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Field	Value	Language
dc.contributor.author	Yu, H
dc.contributor.author	Guo, Y
dc.contributor.author	Ye, L
dc.contributor.author	Su, SW
dc.date.accessioned	2024-08-07T05:25:30Z
dc.date.available	2024-08-07T05:25:30Z
dc.date.issued	2024-06-01
dc.identifier.citation	IEEE Sensors Journal, 2024, 24, (11), pp. 17579-17587
dc.identifier.issn	1530-437X
dc.identifier.issn	1558-1748
dc.identifier.uri	http://hdl.handle.net/10453/180310
dc.description.abstract	This study presents an in-depth analysis of the Optimal Experimental Design for in-field calibration of triaxial magnetometers, with a particular focus on the nine-parameter inclination-based calibration model and its implementation through 12-observation schemes. Initially, the article examines various experimental schemes applicable to different global locations and integrates theoretical analysis with simulation and experimental results. Then, the information matrix for the proposed nine-parameter model under the outlined 12-observation scheme is derived. Based on that the G-optimality of the proposed scheme is proved. Subsequent simulation studies rigorously evaluate the scheme's resilience to variations in the bias angles between actual placement and ideal position, as the bias angles change from 0° to 90°, the relative efficiency decreases from 1 to 3.7586 × 10-33. Finally, the practical application situation of the nine-parameter calibration model and the 12-observation scheme is experimentally verified by using commercial inertial measurement unit (IMU) devices in diverse locations. This research not only proposes a suite of numerical solutions for ideal conditions, but also offers a pragmatic guide for assessing actual device placement in field applications.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Sensors Journal
dc.relation.isbasedon	10.1109/JSEN.2024.3382143
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Analytical Chemistry
dc.subject.classification	40 Engineering
dc.title	Optimal Experimental Design for In-Field Calibration of a Nine-Parameter Triaxial Magnetometers Model
dc.type	Journal Article
utslib.citation.volume	24
utslib.for	0205 Optical Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Centre for Health Technologies (CHT)
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-07T05:25:18Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	24
utslib.citation.issue	11

Abstract:

This study presents an in-depth analysis of the Optimal Experimental Design for in-field calibration of triaxial magnetometers, with a particular focus on the nine-parameter inclination-based calibration model and its implementation through 12-observation schemes. Initially, the article examines various experimental schemes applicable to different global locations and integrates theoretical analysis with simulation and experimental results. Then, the information matrix for the proposed nine-parameter model under the outlined 12-observation scheme is derived. Based on that the G-optimality of the proposed scheme is proved. Subsequent simulation studies rigorously evaluate the scheme's resilience to variations in the bias angles between actual placement and ideal position, as the bias angles change from 0° to 90°, the relative efficiency decreases from 1 to 3.7586 × 10-33. Finally, the practical application situation of the nine-parameter calibration model and the 12-observation scheme is experimentally verified by using commercial inertial measurement unit (IMU) devices in diverse locations. This research not only proposes a suite of numerical solutions for ideal conditions, but also offers a pragmatic guide for assessing actual device placement in field applications.

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http://hdl.handle.net/10453/180310