Construction Method of Geomagnetic Reference Map for Satellite Communication Navigation through Kriging Method

Abstract

The construction of the geomagnetic reference map is the basis of geomagnetic navigation, but the geomagnetic reference map established directly from the measured data is generally difficult to meet the accuracy requirements of the geomagnetic navigation. A method of constructing geomagnetic reference map based on the combination of Kriging method and BP neural network is proposed. Through the establishment of simulation models and interpolation experiments, the relationship between the interpolation errors of the two algorithms and the total magnetic field gradient at the interpolation point is analyzed. The interpolation error of Kriging interpolation in the region with large gradient is greater than that of BP neural network, and the interpolation error in the region with small gradient is smaller than that of BP neural network. Kriging interpolation has greater errors in areas with higher gradients than that of BP neural network. As the gradient increases, the difference between the cumulative error of the BP neural network and the Kriging method has an obvious point of inflection, indicating that in the region where the gradient is greater than the point of inflection coordinates, the Kriging method interpolation result can be replaced by the BP neural network prediction value to improve the interpolation accuracy. Experimental result shows that the method is effective.