A Fast Linear Algorithm for Magnetic Dipole Localization Using Total Magnetic Field Gradient

作者：Fan, Liming; Kang, Xiyuan; Zheng, Quan; Zhang, Xiaojun; Liu, Xuejun; Chen, Chunlei; Kang, Chong^*

来源：IEEE Sensors Journal, 2018, 18(3): 1032-1038.

DOI：10.1109/JSEN.2017.2781300

• Total field gradient
• inverse problem
• localization
• linear algorithm
• magnetic target

Localization of magnetic target can be estimated through a magnetic anomaly. Generally, we need to solve the high-order nonlinear equations for estimating the position and magnetic moment of the target. Therefore, optimization algorithms are applied to calculate the solution of the nonlinear equations. In this paper, we present a fast linear algorithm for locating the target based on the total magnetic field gradient. In the algorithm, we give the closed-form formula of the static magnetic target localization. According to the properties of the vector, we can obtain a cubic equation of any 1-D position of the target. Thus, we can easily solve the cubic equation and obtain the closed-form formula of the target localization. Compared with the optimization algorithms, the proposed method provides good performance using short time and can be used to locate the target in real time. The proposed method is validated by the numerical simulation and real experimental data. The position and magnetic moment of the target are calculated rapidly. And the results show that the estimated parameters of the static target using the proposed method are very close to the true values.

• 出版日期2018-2-1
• 单位哈尔滨工程大学