AIP Advances (Jul 2021)

The stability optimization algorithm of second-order magnetic gradient tensor

  • Bo Wang,
  • Guoquan Ren,
  • Zhining Li,
  • Qingzhu Li

DOI
https://doi.org/10.1063/5.0056361
Journal volume & issue
Vol. 11, no. 7
pp. 075322 – 075322-8

Abstract

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In order to improve the stability of the second-order magnetic gradient tensor data under magnetic interference, a stability optimization algorithm based on the improved central difference method is proposed in this paper, and a new measuring device is designed according to the new algorithm. In the simulation, the root mean square error (RMSE) of the old and new methods under different noise conditions is studied, and the results show that the proposed method is more stable. In the experiment, the measurement was carried out in a site with complex magnetic interference, and the positioning results were analyzed through the RMSE. The RMSE of the positioning results obtained by the traditional method and the proposed method was (3.3782, 1.3482, 0.3337) and (0.3988, 0.0070, 0.0510), respectively. The simulation and the experiment showed the superiority of the proposed method.