Magnetic Target Localization Correction Based on Variance Weight Distribution of Eigenvalue

Abstract

Magnetic target localization has high application value in the fields of underwater target detection and mineral exploration. To address the problems of limited detection range and blind area of single-point detection method, the detection and positioning method based on the weight distribution correction algorithm is proposed. By designing an algorithm that combines the characteristics of the magnetic field gradient matrix to optimize the distribution of the detection array, the precise regional localization of the target is achieved. Firstly, based on the detection range and the characteristics of the obstacle area, the multi-point detection array is analyzed and the weight distribution correction model is established, then the feasibility of the positioning method is analyzed using experiment data, and finally the detection system is built to conduct positioning experiments on specific target. The results show that the multi-point weight distribution correction localization method can effectively obtain the target location information, and the detection accuracy is improved to a certain extent.