Geomagnetic Aided Navigation Suitability Evaluation Based on Principal Component Analysis

The analysis of geomagnetic map suitability is one of the key techniques in geomagnetic aided navigation system. Suitability evaluation using the single feature parameter may lead to misjudgment. By considering a group of geomagnetic map feature parameters such as standard deviation, roughness, gradient deviation, information entropy, and fisher information content, the principal component analysis method is used to achieve synthetical evaluation value of candidate matching areas by endogenetic weight. The experiment results indicate well consistency between the synthetical evaluation value and the matching probability. The synthetical evaluation value may be regarded as a quantitative index of suitability to select appropriate geomagnetic aided navigation matching areas.