A Novel Method of Accurate Calculation of the Magnetic Dipole Field in Both the Near and Far Fields

ABSTRACT The magnetic dipole serves as a fundamental concept in understanding electromagnetic phenomena. It has extensive applications across various fields such as geophysics and indoor navigation, which require accurate determination of its magnetic field. Although the magnetic dipole approximation yields satisfactory results in the far field, its computational accuracy is poor in the near‐field region. Here, we propose a method of accurately calculating the magnetic dipole field in both the near and far fields. This method encompasses three steps: first, calculating the magnetic field strength B T at the position r ; second, determining the direction of the magnetic field at r ; and third, calculating three components of the magnetic field. Numerical tests show that the calculation error of B T is < 1% at r > 1.2 R , and is < 0.1% at r > 10 R , where R is the radius of the magnetic dipole. Additionally, the magnetic field direction can be precisely modeled via multi‐parameter fitting, yielding angular errors < 0.1° in most regions at r > 1.2 R . Integration of the direction and B T enables us to accurately calculate three components of the magnetic field with an error of < 1% at r > 1.8 R . These results indicate that our method is able to achieve high accurate calculation of the magnetic dipole field in both the near and far fields. This method can provide an effective computational algorithm for the applications relying on magnetic dipoles.

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Publication Details

Journal
International Journal of Numerical Modelling Electronic Networks Devices and Fields
Published
2025-05-01
DOI
https://doi.org/10.1002/jnm.70068
Citations
1
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
0.73

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article

A Novel Method of Accurate Calculation of the Magnetic Dipole Field in Both the Near and Far Fields

Chaobo Liu, Tielong Zhang, Qiancheng Zhang, Guoqiang Wang et al.
1 citations
International Journal of Numerical Modelling Electronic Networks Devices and Fields
Magnetic Field Sensors Techniques
0.73
article

A Novel Method of Accurate Calculation of the Magnetic Dipole Field in Both the Near and Far Fields

Chaobo Liu, Tielong Zhang, Qiancheng Zhang, Guoqiang Wang, Jiaqi Liu, Yi Zhong, Qi Xiao, Lifei Meng
article en
1 citations

Abstract

ABSTRACT The magnetic dipole serves as a fundamental concept in understanding electromagnetic phenomena. It has extensive applications across various fields such as geophysics and indoor navigation, which require accurate determination of its magnetic field. Although the magnetic dipole approximation yields satisfactory results in the far field, its computational accuracy is poor in the near‐field region. Here, we propose a method of accurately calculating the magnetic dipole field in both the near and far fields. This method encompasses three steps: first, calculating the magnetic field strength B T at the position r ; second, determining the direction of the magnetic field at r ; and third, calculating three components of the magnetic field. Numerical tests show that the calculation error of B T is < 1% at r > 1.2 R , and is < 0.1% at r > 10 R , where R is the radius of the magnetic dipole. Additionally, the magnetic field direction can be precisely modeled via multi‐parameter fitting, yielding angular errors < 0.1° in most regions at r > 1.2 R . Integration of the direction and B T enables us to accurately calculate three components of the magnetic field with an error of < 1% at r > 1.8 R . These results indicate that our method is able to achieve high accurate calculation of the magnetic dipole field in both the near and far fields. This method can provide an effective computational algorithm for the applications relying on magnetic dipoles.

International Journal of Numerical Modelling Electronic Networks Devices and FieldsVol. 38(3)
Macau University of Science and Technology (MO), Austrian Academy of Sciences (AT), China Academy of Space Technology (CN), Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Space Research Institute (AT), National Space Science Center (CN)
National Natural Science Foundation of China, Chinese Aeronautical Establishment, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 27%
Magnetic Field Sensors Techniques
0.73
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