Abstract. To calibrate three-axis magnetic compass in complex conditions, an ellipsoid fitting algorithm is proposed in this paper, which is based on genetic algorithm searching for intersecting plane. First, by intersecting ellipsoid surface with a plane equation covering the whole space, the corresponding elliptic equation could be obtained. Then, using minimum sum of squares of the distance between data points and the fitting ellipsoid as the index, the three-dimensional magnetic compass data are fitted with the ellipse constraint. The adoption to the genetic algorithm is followed to search for the optimal intersecting plane equation, thus obtaining the optimal correction parameters of magnetic compass. Based on a series of tests, the static azimuth accuracy and dynamic azimuth accuracy can reach 0.46 degree and 0.68 degree respectively. This proposed method has high calibration accuracy and can meet the application requirements of magnetic compass.
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