Misalignment calibration of geomagnetic vector measurement system using parallelepiped frame rotation method

Pang, Hongfeng; Zhu, Xuejun; Pan, Mengchun; Zhang, Qi; Chen, Wan; Luo, Siqiang; Chen, Dixiang; Chen, Jinfei; Li, Ji; Lv, Yunxiao

doi:10.1016/j.jmmm.2016.06.019

Cited by 14 publications

(3 citation statements)

References 20 publications

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“…Step 4: Update the velocity characteristic of particle i according to equation (11). Set the particle parameters for the next iteration according to equation (12).…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

“…(1) The magnetometers are first mounted on a non-magnetic rigid support, which is rotated in a relatively uniform magnetic field in accordance with certain rules. Then, using the principle of a constant magnetic gradient tensor, each error parameter of the magnetometer array, including the bias, non-orthogonal error and mismatch error, are calculated with the least-squares method or other algorithm, and the measurement results are calibrated [7][8][9][10][11][12][13][14][15][16]. (2) The optical calibration method, which uses regular hexahedral optical prisms and orthogonal optical systems as references for measuring and correcting mismatch errors.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Calibration method for mismatch error of a magnetometer array based on two excitation coils and the particle swarm optimization algorithm

Wang

Liu

Ouyang

et al. 2020

Meas. Sci. Technol.

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In performing the detection and tracking of ferromagnetic targets or the detection of magnetic anomalies, a magnetometer array or magnetic gradiometer is often used to suppress interference from environmental background magnetic fields and to improve measurement accuracy. Increasing the distance between the magnetometers is beneficial to improving the signal-to-noise ratio (SNR) of the magnetic gradiometer, but the mismatching error of the magnetometer array affects the accuracy in measuring the magnetic gradient tensor and the positioning accuracy of the ferromagnetic target. In order to calibrate the mismatch error of a magnetometer array, the mounting position and orientation of each magnetometer must be accurately measured. When the magnetometer array is too large, the commonly used calibration methods are difficult to implement because it is difficult to make a rigid support, optical system or robot that is large enough. This paper reports a method that uses two coils and an excitation current source to generate a test magnetic field, after which methods of modulation/demodulation and phase-locked filtering are used to suppress interference from the ambient magnetic field. The output of each magnetometer is recorded, and the particle swarm optimization algorithm is employed to calculate the mounting position and orientation of each magnetometer. After theoretical analysis, computational simulation and experimental verification, the results showed that position measurements over an area of 2.4 m × 2.4 m were accurate to within 0.05 m and the orientation measurements were accurate to within 0.03 rad. The average relative positioning error was less than 1.7%. By designing larger coils and current sources, the needs of larger arrays can be satisfied as long as the same SNR is maintained.

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“…Step 4: Update the velocity characteristic of particle i according to equation (11). Set the particle parameters for the next iteration according to equation (12).…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Calibration method for mismatch error of a magnetometer array based on two excitation coils and the particle swarm optimization algorithm

Wang

Liu

Ouyang

et al. 2020

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…A series of methods were proposed by Li for calibration of the misalignment between the accelerometer coordinate and the magnetometer coordinate using the property whereby the dot product of the geomagnetic field and gravity field is constant [16,17]. Pang proposed a hexahedrondevice-assisted method to calibrate the misalignment error, but the method depends on the precision of the hexahedron auxiliary device [18]. Wan reported a method using the Lagrange multiplier to calculate the combined matrix of the magnetometer error and misalignment error.…”

Section: Introductionmentioning

confidence: 99%

Calibration of strapdown magnetic vector measurement systems based on a plane compression method

Cheng

Wang

et al. 2023

Meas. Sci. Technol.

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The strapdown magnetic vector measurement system which can obtain the magnetic vector field and the attitude information simultaneously has widely applied in geophysical prospecting. A high-performance calibration of systematic errors including magnetometer error and misalignment error is essential for this system. The traditional methods calibrate these two errors separately, having the problems of cumbersome steps and be dependent on special data acquisition ways such as rotation, rolling-over, incline, etc. An original method combining plane compression with ellipsoid fitting is proposed in this paper, which can simultaneously complete the calibration calculation of magnetometer error and misalignment error by one experiment. It can be done using a set of attitude-independent spatial scatter point data and no additional mechanical equipment is required. The mathematical analysis of this method has been done to study the elements decreasing the measurement accuracy of the system, and numerical simulation and field experiments are performed to validate the above analysis. The results indicate that the method can do contribution to the accuracy improvement of magnetic vector measurement system.

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Calibration of fluxgate sensor using least square method and particle swarm optimization algorithm

Chafi

Gholizade‐Narm

Kalat

2023

Journal of Magnetism and Magnetic Materials

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Misalignment calibration of geomagnetic vector measurement system using parallelepiped frame rotation method

Cited by 14 publications

References 20 publications

Calibration method for mismatch error of a magnetometer array based on two excitation coils and the particle swarm optimization algorithm

Calibration method for mismatch error of a magnetometer array based on two excitation coils and the particle swarm optimization algorithm

Calibration of strapdown magnetic vector measurement systems based on a plane compression method

Calibration of fluxgate sensor using least square method and particle swarm optimization algorithm

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