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Magnetic Tweezers for the Measurement of Twist and Torque
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Real-Time Calibration of Magnetometers Using the RLS/ML Algorithm.

Guocan Cao1, Xiang Xu1, Dacheng Xu1

  • 1School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China.

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|January 23, 2020
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Summary
This summary is machine-generated.

This study introduces a real-time magnetometer calibration algorithm using recursive least square (RLS) and maximum likelihood (ML) estimation. The method enhances accuracy and speed for heading determination, outperforming traditional batch-processing techniques.

Keywords:
magnetometer calibrationmaximum likelihood estimationreal-timerecursive least square estimation

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Area of Science:

  • Sensor technology
  • Geophysics
  • Signal processing

Background:

  • Magnetometers are crucial for heading determination using Earth's magnetic field.
  • Ambient magnetic disturbances necessitate magnetometer calibration.
  • Existing calibration methods can be slow and less accurate.

Purpose of the Study:

  • To develop a novel real-time calibration algorithm for three-axis magnetometers.
  • To improve the accuracy and computational speed of magnetometer calibration.
  • To provide a versatile calibration method applicable to other three-axis sensors.

Main Methods:

  • A simplified measurement error model for magnetometers was developed.
  • A real-time recursive least square (RLS) estimation algorithm was implemented.
  • Maximum likelihood (ML) estimation was employed for unbiased parameter optimization.

Main Results:

  • The proposed algorithm achieves real-time parameter correction.
  • Unbiased parameter estimation was obtained, enhancing accuracy.
  • Simulations and experiments confirmed superior accuracy and speed compared to batch-processing methods.

Conclusions:

  • The novel real-time calibration algorithm offers significant improvements in magnetometer performance.
  • The method provides a robust solution for accurate heading determination in noisy environments.
  • This approach is adaptable for calibrating various three-axis sensors.