Triangle matching method for the sparse environment of geomagnetic information

In this paper, a triangle matching method for geomagnetic navigation is developed, which aims at introducing as little redundant information as possible to improve the matching effect of regions with less magnetic information. According to the triangle similarity, the matching triangles are constructed on the isocline information corresponding to the trained BPNN geomagnetic map, and the best matching parameters can be obtained through the correcting function. Simulations based on uniform distribution and random distribution have been performed for the validation of the proposed algorithm. The anti-interference of the algorithm on noise is further demonstrated by comparing with the ICCP method using Monte Carlo simulation.