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Error Calibration for Full Tensor Magnetic Gradiometer Probe Based on Coordinate Transformation Method

Liangguang Yue, Defu Cheng, Yanchao Qiao, Jing Zhao

2022IEEE Transactions on Instrumentation and Measurement10 citationsDOI

Abstract

In order to calibrate the zero offset error and triaxial non-orthogonal error of full tensor magnetic gradiometer (FTMG) probe composed of superconducting quantum interference device (SQUID) magnetometers, we propose a new calibration method in this article. With the help of the triaxial Helmholtz coil, we can generate a magnetic field with known parameters. By establishing the objective functions containing the error parameters for the outputs of the SQUIDs and solving them with the least-squares fitting algorithm, the included angle between the SQUID sensor and the Helmholtz coil can be obtained, then all the required error parameters can be calculated by coordinate transformation method. Compared with the traditional method, this method does not need to rotate the SQUID magnetometers-based probe to collect the data set for calibration, thus avoiding the influence of motion induced noise on the calibration results. In order to verify the effectiveness of the proposed method, we adopted the widely used ellipsoid fitting method as a comparison method and conducted field comparison experiments. The results show that the proposed calibration method is better than the traditional ellipsoid fitting calibration method under the same experimental environment. The root mean square errors of five independent magnetic gradient tensor components are reduced to 0.39, 0.35, 0.41, 0.31 and 0.57 nT/m from 1630.55, 756.59, 3097.56, 1051.09 and 1245.64 nT/m by the proposed method.

Topics & Concepts

GradiometerCalibrationMagnetometerEllipsoidCoordinate systemHelmholtz coilTensor (intrinsic definition)Offset (computer science)PhysicsNoise (video)Magnetic fieldTransformation (genetics)SquidHelmholtz free energyElectromagnetic coilAlgorithmMathematicsComputer scienceGeometryArtificial intelligenceAstronomyBiologyProgramming languageQuantum mechanicsEcologyChemistryBiochemistryGeneImage (mathematics)Geophysical and Geoelectrical MethodsMagnetic Field Sensors TechniquesCharacterization and Applications of Magnetic Nanoparticles
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