三轴磁航向传感器误差补偿

doi:10.3969/j.issn.0255-8297.2013.02.008

Abstract

Abstract: An improved least-square ellipsoid fitting method for calibrating of magnetic heading sensor is proposed to overcome instability of the traditional ellipsoid fitting algorithm due to singularity of the constraint matrix. The source of error and the mathematical model are discussed. A method of matrix block
decomposition is used to solve the singularity problem of constraint matrix in the traditional algorithm. The ellipsoid parameter is calculated using the least-square algorithm. The proposed method overcomes instability of the traditional algorithm and reduces computation complexity. Simulation and experiments show that the proposed method is effective in magnetic heading sensor calibration. The precision of calibrated heading is better than 0.42m.

Key words: magnetic heading sensor, error calibration, ellipsoid fitting, singularity

FENG Wen-guang, LIU Shi-bin, LI Ju-ping, GUO Bo, YANG Shang-lin. Error Calibration of Three-Axis Magnetic Heading Sensor[J]. Journal of Applied Sciences, 2013, 31(2): 154-158.

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Error Calibration of Three-Axis Magnetic Heading Sensor

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