An Evaluation Method for the Magnetometer Calibration Data Quality

A method for evaluating the quality of magnetometer calibration data based on uniformity and coverage is proposed to improve calibration accuracy. First, use the median filter method to smooth the raw data collected by the magnetometer to reduce the interference of gross errors on the calibration accuracy. Then evaluate the uniformity and coverage of the processed data in the three-dimensional(3D) space. Experiment results show that the calibration accuracy increases with the improvement of the quality of calibration data.