Magnetic dipole localization based on magnetic gradient tensor data at a single point

Gang Yin; Yingtang Zhang; Hongbo Fan; Zhining Li

doi:10.1117/1.JRS.8.083596

3 July 2014 Magnetic dipole localization based on magnetic gradient tensor data at a single point

Gang Yin, Yingtang Zhang, Hongbo Fan, Zhining Li

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083596 (July 2014). https://doi.org/10.1117/1.JRS.8.083596

Abstract

Magnetic dipole localization methods that rely on measurement of the magnetic field vector are compromised by the relatively strong background geomagnetic field. A localization method that uses only magnetic gradient tensor data is proposed. The localization equations are established by transforming Euler’s equation of degree −3 into degree −4 and using the orthogonality of the intermediate eigenvector of the magnetic gradient tensor that is produced by a magnetic dipole and the source-sensor displacement vector. To measure the quantities required in the localization equations, we designed a magnetic gradient tensor system in which finite differences are used to approximate the first- and second-order spatial gradients of magnetic field components. Numerical simulations show that the proposed method can accurately and uniquely solve for the location of a magnetic dipole in the presence of the geomagnetic field, and the experimental results show the superiority and the practicability of the proposed method.

Citation Download Citation

Gang Yin, Yingtang Zhang, Hongbo Fan, and Zhining Li "Magnetic dipole localization based on magnetic gradient tensor data at a single point," Journal of Applied Remote Sensing 8(1), 083596 (3 July 2014). https://doi.org/10.1117/1.JRS.8.083596

Published: 3 July 2014

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