A method for correcting linear misalignment errors of a triaxial fluxgate sensor array

By rotating the magnetic signal acquisition and using the ellipsoid fitting method to correct the misalignment error of the triaxial fluxgate sensor array, the problem of inconsistent sensor array signals was solved, achieving efficient and low-cost error correction and improving signal quality.

CN115856744BActive Publication Date: 2026-03-31UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Application Number
CN202211396640.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-09
Publication Date
2026-03-31
Estimated Expiration
2042-11-09

AI Technical Summary

Technical Problem

Existing three-axis fluxgate sensor arrays have misalignment errors during installation, resulting in inconsistent acquired signals. Furthermore, traditional calibration methods require additional equipment and are complex and costly to operate.

Method used

By rotating the sensor array around the center to collect magnetic signal data, an error correction model is established. The rotation and offset matrices are calculated using the ellipsoid fitting method and the minimum arithmetic distance sum of squares optimization, thereby realizing the linear misalignment error correction between sensors.

Benefits of technology

It can achieve sensor signal consistency correction without additional equipment, reduce installation alignment requirements, improve signal quality, reduce noise, and enhance the signal-to-noise ratio.

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Abstract

The application discloses a method for correcting linear misalignment error between sensors in a three-axis fluxgate sensor array, aiming at solving the problem of poor consistency of multi-sensor output signals caused by misalignment error between sensors. Firstly, in the case of pure geomagnetic background noise, the sensor array is rotated around the center, and the magnetic signal data of each sensor at different angles is collected; then, an error correction model of each sensor is established, the parameters of the error correction model of each sensor are solved by using the collected geomagnetic background signals at different angles, and the signals measured by each sensor are corrected; a sensor is selected as a reference sensor, a linear misalignment error correction model of other sensors relative to the reference sensor is established, and the model parameters are solved; finally, the measurement data of other sensors are substituted into the linear misalignment error correction model, and the corrected magnetic signal data are obtained. By using the corrected signals for difference or gradient operation, the signal-to-noise ratio of the difference signal or the gradient signal can be improved.
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