Influence of periodical interference on calibration process of vector magnetometer

The aim of the article is to demonstrate that calibration of 3D vector magnetometers using neural networks is possible even in the conditions with external interferences, eliminating the requirement to choose environment. In addition, the selected calibration method is position-independent and therefore no positioning devices are necessary. Given the dominant systematic errors of the selected HMC 5883L sensor an inverse model that takes into account the multiplicative, additive and orthogonality was elected. Calibration was performed initially in the laboratory without additional interference. Next, calibration took place in the environment with additional periodic harmonic disturbance and the results were compared.