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International Journal of Frontiers in Engineering Technology, 2022, 4(7); doi: 10.25236/IJFET.2022.040711.

Research on Geomagnetic Indoor Positioning Based on Different Spatial Interpolation Methods


Yuchen Han, Shicheng Xie, Xingxing Xiao, Jinxiu Xu, Qinghua Liu

Corresponding Author:
​Yuchen Han

College of Spatial Information and Surveying and Mapping Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, China


The resolution of geomagnetic field is low. In geomagnetic indoor positioning in large-scale scenes, with the increase of the number of fingerprints, the geomagnetic characteristic values corresponding to different position coordinates will have more similarities, resulting in a higher probability of fingerprint positioning mismatch. To solve this problem, Spline interpolation, RBF interpolation and Kriging interpolation are applied to the construction of geomagnetic fingerprint database in the offline stage, and BP neural network model is used for matching and positioning in the online stage. The experimental results show that the geomagnetic fingerprint database constructed by RBF interpolation can effectively improve the positioning accuracy and stability.


Indoor positioning, Geomagnetic fingerprint database, Spline interpolation, RBF interpolation, Kriging interpolation

Cite This Paper

Yuchen Han, Shicheng Xie, Xingxing Xiao, Jinxiu Xu, Qinghua Liu. Research on Geomagnetic Indoor Positioning Based on Different Spatial Interpolation Methods. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 7: 52-59. https://doi.org/10.25236/IJFET.2022.040711.


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