Calibration method for planar SQUID gradiometers based on the magnetic gradient tensor components

Wu, Jun; Liu, Rong; Jia, H. Y.; Zhang, Guofeng; Qiu, Longqing; Dong, Hui; Pei, Yifeng; Zhang, Shulin; Yuan, Xia; Li, Baoqing

doi:10.1088/1361-6501/acdb8b

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…The RMSE of the corrected magnetic field data is only 0.1007 uT, which is reduced by 93.05%, and the distortion phenomenon is basically eliminated. Due to the measurement of the magnetic gradient tensor depending on differential signals between the vector sensors at different positions in the array system, it is necessary to align the initial measurement values of the nine sensors to be consistent [30,31]. During the calibration process, we align other sensors to S9, and the TMI before and after correction are shown in figure 6.…”

Section: Error Correction Algorithm Verificationmentioning

confidence: 99%

Magnetic target nonlinear positioning method based on planar regular octagon tensor system

Chen,

Li,

Zhang

et al. 2024

Meas. Sci. Technol.

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The magnetic target location technology based on the principle of magnetic gradient tensor has broad engineering application prospects. However, commonly used target positioning methods are easily interfered with by the geomagnetic environment. We proposed a magnetic target nonlinear positioning method to achieve precise localization of magnetic objects. An ellipsoid fitting method based on the total least square algorithm is proposed to correct the measurement system’s magnetic interference and array error. The results show that the algorithm can reduce the root mean square error of the total magnetic field strength by 93.05% to 0.1007 uT. The tensor components are all limited to 100 nT m−1. Then, a target positioning function is constructed with the magnetic moment information introduced as a constraint term, and the location of the magnetic target is optimally calculated using the Levenberg–Marquardt algorithm. The field experimental results indicate when the magnetic targets are located at (5,0,0) and (10,−5,0), the positioning errors are 5.11% and 6.62%. This technology can also achieve high-precision path tracking of magnetic targets.

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Section: Error Correction Algorithm Verificationmentioning

confidence: 99%

Magnetic target nonlinear positioning method based on planar regular octagon tensor system

Chen,

Li,

Zhang

et al. 2024

Meas. Sci. Technol.

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“…Therefore, the construction of the differential MGT measurement system using triaxial magnetometers becomes essential. Currently, the sensors that can be used to construct MGT measurement systems mainly include superconducting quantum interference devices (SQUID) and fluxgate magnetometers [16,17]. Due to its low production cost, portability, and practicality, the fluxgate magnetometer has been widely used in practice applications [18].…”

Section: Introductionmentioning

confidence: 99%

Structural Design and Parameter Optimization of Magnetic Gradient Tensor Measurement System

Liu,

Zhang,

Liu

2024

Sensors

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Magnetic anomaly detection (MAD) technology based on the magnetic gradient tensor (MGT) has broad application prospects in fields such as unexploded ordnance detection and mineral exploration. The difference approximation method currently employed in the MGT measurement system introduces measurement errors. Designing reasonable geometric structures and configuring optimal structural parameters can effectively reduce measurement errors. Based on research into differential MGT measurement, this paper proposes three simplified planar MGT measurement structures and provides the differential measurement matrix. The factors that affect the design of the baseline distance of the MGT measurement system are also theoretically analyzed. Then, using the magnetic dipole model, the error analysis of the MGT measurement structures is carried out. The results demonstrate that the planar cross-shaped structure is optimal, with the smallest measurement error, only 3.15 × 10−10 T/m. Furthermore, employing the control variable method, the impact of sensor resolution constraints, noise level, target magnetic moment, and detection distance on the design of the optimal baseline distance of the MGT measurement system is simulated and verified. The results indicate that the smaller the target magnetic moment, the farther the detection distance, the lower the magnetometer resolution, the greater the noise, and the greater the baseline distance required. These conclusions provide reference and guidance for the construction of the MGT measurement system based on triaxial magnetometers.

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A correction method of magnetic gradient tensor system to improve magnet localization accuracy

Chen,

Zhang,

Zhang

et al. 2024

Sensors and Actuators A: Physical

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Calibration method for planar SQUID gradiometers based on the magnetic gradient tensor components

Cited by 6 publications

References 23 publications

Magnetic target nonlinear positioning method based on planar regular octagon tensor system

Magnetic target nonlinear positioning method based on planar regular octagon tensor system

Structural Design and Parameter Optimization of Magnetic Gradient Tensor Measurement System

A correction method of magnetic gradient tensor system to improve magnet localization accuracy

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