Study on the Geomagnetic Features for Matching Suitability Analysis

In geomagnetic aided navigation (GAN), the matching suitability of candidate matching areas (CMAs), which is an important influencing factor of matching precision, can be depicted by the geomagnetic features extracted from the geomagnetic map. Firstly, the definitions of thirteen commonly used geomagnetic features are given in detail. Then the quantitative relationship between the geomagnetic features and matching probability is studied from the angles of relativity and monotony. Experimental results show that some features (e.g. fisher information content, standard deviation, accumulated gradient mean, and roughness) own well consistency with matching probability and can be used for selecting suitable-matching areas in practice. The conclusions of this study may afford beneficial lessons for the selection of geomagnetic features and provide useful guidance for matching suitability analysis.