面向地磁探测的平面三轴GMI磁传感器磁场信号解算方法及验证

晋芳; 江锦鹏; 鲁佳琦; 朱晓渝; 王世恒; 董凯锋; 宋俊磊; 莫文琴

doi:10.3799/dqkx.2025.249

Volume 51 Issue 8

Aug. 2026

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Article Navigation > Earth Science > 2026 > 51(8): 3181-3190

Jin Fang, Jiang Jinpeng, Lu Jiaqi, Zhu Xiaoyu, Wang Shiheng, Dong Kaifeng, Song Junlei, Mo Wenqin, 2026. Method for Decoding Magnetic Field Signals from Planar Triaxial GMI Magnetic Sensors for Terrestrial Magnetic Surveys and Its Validation. Earth Science, 51(8): 3181-3190. doi: 10.3799/dqkx.2025.249

Citation:

Jin Fang, Jiang Jinpeng, Lu Jiaqi, Zhu Xiaoyu, Wang Shiheng, Dong Kaifeng, Song Junlei, Mo Wenqin, 2026. Method for Decoding Magnetic Field Signals from Planar Triaxial GMI Magnetic Sensors for Terrestrial Magnetic Surveys and Its Validation. Earth Science, 51(8): 3181-3190. doi: 10.3799/dqkx.2025.249

Citation:

Jin Fang, Jiang Jinpeng, Lu Jiaqi, Zhu Xiaoyu, Wang Shiheng, Dong Kaifeng, Song Junlei, Mo Wenqin, 2026. Method for Decoding Magnetic Field Signals from Planar Triaxial GMI Magnetic Sensors for Terrestrial Magnetic Surveys and Its Validation. Earth Science, 51(8): 3181-3190. doi: 10.3799/dqkx.2025.249

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Method for Decoding Magnetic Field Signals from Planar Triaxial GMI Magnetic Sensors for Terrestrial Magnetic Surveys and Its Validation

doi: 10.3799/dqkx.2025.249

Jin Fang^{1, 2, 3
,
,},
Jiang Jinpeng^{1, 2, 3},
Lu Jiaqi^{1, 2, 3},
Zhu Xiaoyu^{1, 2, 3},
Wang Shiheng^{1, 2, 3},
Dong Kaifeng^{1, 2, 3},
Song Junlei^{1, 2, 3},
Mo Wenqin^{1, 2, 3}

1.
School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan 430074, China
2.
Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
3.
Engineering Research Center of Intelligent Technology for Geo⁃Exploration, Ministry of Education, Wuhan 430074, China

Received Date: 2025-12-15
Publish Date: 2026-08-25

Abstract

Abstract

The geomagnetic field exhibits a stable distribution within the Earth's interior, with its direction and intensity serving as a natural reference benchmark. Geomagnetic detection technology provides reliable navigation solutions for complex environments such as deep underground and underwater settings, demonstrating particular advantages in autonomy, concealment, and interference resistance. In geomagnetic navigation detection, triaxial magnetometers are commonly used to acquire the spatial distribution information of the magnetic field, thereby inverting position information. Hence, the accuracy of triaxial magnetometers is one of the key performance indicators in geomagnetic navigation detection. However, conventional triaxial magnetic sensors suffer from large size, complex fabrication processes, and difficulty in ensuring orthogonality. These factors frequently introduce measurement errors that are challenging to correct, thereby limiting precision improvements. To address this, this paper proposes a planar triaxial GMI magnetic sensor design based on the principles of magnetic flux line reorientation and magnetic flux line aggregation. This design orthogonally arranges three magnetic probes within a plane. By employing a magnetic flux line deflection structure, it enables planar measurement of three-dimensional magnetic fields, effectively mitigating errors arising from the inherent orthogonality challenges of conventional triaxial sensors. The constructed triaxial magnetic probes underwent simulation analysis, with the signal composition of each probe resolved and corresponding signal calculation methods derived. Experimental results demonstrate a measurement range of ±370 µT, with output voltage sensitivities of 1 416 Ⅴ/T, 1 424 Ⅴ/T, and 628.3 Ⅴ/T for the X, Y, and Z axes respectively. This approach achieves planar integrated measurement of three-dimensional magnetic fields while maintaining measurement accuracy, notably enhancing detection precision in the Z-direction. It thus provides a novel pathway for developing high-performance triaxial magnetic sensors.
- geomagnetic field detection,
- Earth & magnetism navigation,
- planar triaxial GMI magnetic sensor,
- magnetic flux redirection,
- deep learning

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Method for Decoding Magnetic Field Signals from Planar Triaxial GMI Magnetic Sensors for Terrestrial Magnetic Surveys and Its Validation

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