Abstract
The measurements of geomagnetism sensors are often affected by self-factors, install-factors and environment factors, therefore they often exist error and cause measurement accuracy reduction. Focus on these problems, this paper analyse existing ground calibration algorithms and their merits and demerits respectively. Besides, a comprehensive geomagnetism sensor error model is presented. Based on this model, a least square method based ellipsoid fitting calibration and compensation algorithm is presented. The experiment results show that this novel calibration algorithm can effectively restrain and compensate geomagnetism signal measurement error.
Highlights
Geomagnetism filed is elementary physical field of earth, it has characteristics such as all-time, all-weather, allregion etc
Geomagnetism total filed, three components of geomagnetism, magnetism inclination, magnetism declination and geomagnetism gradient can be used for magnetism navigation [1]
This paper summarizes the common methods of geomagnetic sensors’ calibration and compensation methods, compared their advantages and disadvantages
Summary
Geomagnetism filed is elementary physical field of earth, it has characteristics such as all-time, all-weather, allregion etc. Geomagnetism total filed, three components of geomagnetism, magnetism inclination, magnetism declination and geomagnetism gradient can be used for magnetism navigation [1]. Geomagnetism sensors have many advantages such as small volume, low cost, high precision and so on. They have high ability to anti-impact or overload. Geomagnetism sensors have widely used in commercial and military filed. The purpose of this paper is to calibrate and compensate of geomagnetism sensors and implement geomagnetism navigation through calibrated geomagnetism information [2]
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