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A Lossless Scalar Calibration Algorithm Used for Tri-Axial Magnetometer Cross Array and Its Effectiveness Validation.

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Summary

This study introduces a new lossless scalar calibration algorithm to enhance the accuracy of magnetic gradient tensor (MGT) measurements from tri-axial magnetometer cross arrays (TAMCAs). The method effectively reduces errors, improving geo-magnetic intensity and MGT data quality.

Keywords:
effectiveness validationerrorlossless scalar calibrationmagnetic gradient tensortri-axial magnetometer cross array

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Area of Science:

  • Geophysics
  • Sensor Technology
  • Data Calibration

Background:

  • Magnetic gradient tensor (MGT) measurements using tri-axial magnetometer cross arrays (TAMCAs) are crucial for geophysical surveys.
  • Inherent errors in individual tri-axial magnetometers (TAMs) and sensor misalignment angles (MAs) significantly degrade MGT data quality and measurement accuracy.
  • Existing calibration methods often involve approximations or struggle to account for real-time fluctuations in reference magnetic intensity (MI).

Purpose of the Study:

  • To develop and validate a novel lossless scalar calibration algorithm for TAMCAs.
  • To eliminate mathematical approximations in the calibration process and track reference magnetic intensity fluctuations.
  • To improve the overall measurement precision and data quality of MGT derived from TAMCAs.

Main Methods:

  • A lossless scalar calibration algorithm was developed, focusing on eliminating approximations and tracking reference magnetic intensity (MI) fluctuations.
  • A validation experiment using constrained Euler localization was designed to demonstrate the algorithm's effectiveness.
  • Numerical analysis investigated the impact of TAM noise level (standard deviation), calibration dataset size, and reference MI fluctuation (STD) on calibration accuracy.

Main Results:

  • The proposed lossless scalar calibration algorithm significantly improved the measurement accuracy of the geo-magnetic intensity (geo-MI) at the calibration site.
  • The algorithm also enhanced the accuracy of the magnetic gradient tensor (MGT) measurements for an energized coil.
  • Experimental validation using four fluxgate TAMs (FTAMs) confirmed the algorithm's effectiveness in reducing measurement errors.

Conclusions:

  • The developed lossless scalar calibration algorithm offers a significant advancement in improving the accuracy of MGT measurements from TAMCAs.
  • The method effectively addresses inherent sensor errors and misalignment issues, leading to higher quality geophysical data.
  • This approach provides a robust solution for accurate magnetic field measurements in various applications.