Magnetic Field Sensors' Calibration: Algorithms' Overview and Comparison

Area of Science:

• Geophysics
• Sensor Technology
• Metrology

Background:

• Accurate magnetic field measurements are crucial in various scientific and engineering fields.
• In-situ calibration of three-axis magnetic field sensors is essential for reliable data acquisition.
• Existing calibration methods may require specialized equipment or complex procedures.

Purpose of the Study:

• To review and present user-friendly, step-by-step algorithms for in-situ calibration of magnetic field sensors.
• To compare the performance of seven representative calibration algorithms.
• To evaluate algorithms based on accuracy, computational efficiency, and robustness.

Main Methods:

• A comprehensive review of seven distinct in-situ calibration algorithms for three-axis magnetic field sensors.
• Development of a standardized, step-by-step presentation for each algorithm.
• Comparative analysis using both real-world sensor data and synthetically generated data with known distortions.

Main Results:

• All seven reviewed algorithms provide a viable means for in-situ magnetic field sensor calibration.
• Performance comparison highlights varying trade-offs between accuracy, computational load, and robustness across algorithms.
• The study provides practical insights into algorithm selection based on specific application requirements.

Conclusions:

• The reviewed algorithms offer accessible solutions for magnetic field sensor calibration without specialized hardware.
• Algorithm selection should consider the balance between desired accuracy, available computational resources, and expected environmental robustness.
• This work facilitates the practical implementation of effective sensor calibration protocols.