Magnetic Anomaly Detection Using Continuous Angle Alignment of Three-Axis Magnetic Signal

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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“…than scalar magnetic measurement in geomagnetic navigation [1][2][3], magnetic anomaly detection [4,5] and underground mineral exploration [6,7].…”

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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“…Maneuvering can reflect the attitude angle of the plane [ 32 ], so it is necessary to measure and extract this information. However, it is strongly correlated with AMI on the reference sensor and the target sensor [ 33 ]. The CNS method will equally eliminate the two kinds of information, which is unacceptable for the vector measurement system of the geomagnetic field.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Alternating Magnetic Interference Suppression (AAIS) Algorithm for Geomagnetic Vector Measurement

Wang¹,

Li²,

Yang³

et al. 2022

Sensors

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To achieve high-precision vector measurement values in a geomagnetic field, it is necessary to develop methods for overcoming alternating magnetic interference (AMI), which is generated by electrical equipment. This paper proposes the adaptive alternating magnetic interference suppression (AAIS) algorithm. In this algorithm, first, only a triaxial fluxgate sensor measures the magnetic field data. The time–frequency diagram of the total magnetic field is obtained quickly through short-time Fourier transform and wavelet transform. Additionally, the time and frequency of AMI appearance are analyzed. Then, the triaxial adaptive notch filter suppresses the three-component related magnetic interference. Herein, simulation and actual experiments are performed to verify the effectiveness of AAIS. The results indicate that the algorithm can quickly detect the frequencies of AMI from the total magnetic field and adaptively fit their amplitude and phase on the vector magnetic field. Finally, AAIS can suppress the interference effectively. The AAIS algorithm realizes error compensation for the vector measurement values by the total magnetic field, which effectively improves the vector measurement accuracy of the geomagnetic field. We highlight that the AAIS algorithm is effective for AMIs of different frequencies, numbers, and intensities without reference sensors. Our work has practical implications in airborne, vehicle-mounted, and shipborne geomagnetic vector detection.

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Neglected infrastructures for 6G—Underwater communications: How mature are they?

Dao

Thanh

et al. 2023

Journal of Network and Computer Applications

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Magnetic Anomaly Detection Using Continuous Angle Alignment of Three-Axis Magnetic Signal

Cited by 6 publications

References 18 publications

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

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

An Adaptive Alternating Magnetic Interference Suppression (AAIS) Algorithm for Geomagnetic Vector Measurement

Neglected infrastructures for 6G—Underwater communications: How mature are they?

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