Abstract
Tri-axis magnetometers are widely used to measure magnetic field in engineering of the magnetic localization technology. However, the magnetic field measurement precision is influenced by the nonorthogonal error of tri-axis magnetometers. A locating model of the alternating magnetic dipole in the near-field zone with single-component magnetometers was proposed in this paper. Using the vertical component of the low-frequency magnetic field acquired by at least six single-component magnetometers, the localization of an alternating magnetic dipole could be attributed to the solution for a class of nonlinear unconstrained optimization problem. In order to calculate the locating information of alternating magnetic dipole, a hybrid algorithm combining the Gauss–Newton algorithm and genetic algorithm was applied. The theoretical simulation and field experiment for the localization of alternating magnetic dipole source were carried out, respectively. The positioning result is stable and reliable, indicating that the locating model has better performance and could meet the requirements of actual positioning.
Highlights
Magnetic positioning technology, with characteristics of allweather, low power consumption, and simple signal processing, has gradually drawn people’s attention
Using the magnetic field signal of the target detected by a magnetic sensor or magnetic sensor array, the position information and motion state of the target were obtained by data inversion, which could be widely used in identification of vehicles [1], monitoring of magnetic field [2, 3], prediction of earthquake [4], diagnosis of pipeline failure [5], and exploration of crude oil [6]
Because the positioning algorithm of the magnetic target based on the static magnetic field is greatly influenced by the interference of the geomagnetic environment and other magnetic sources, some researchers have studied the localization of alternating magnetic dipole sources
Summary
With characteristics of allweather, low power consumption, and simple signal processing, has gradually drawn people’s attention. Because the positioning algorithm of the magnetic target based on the static magnetic field is greatly influenced by the interference of the geomagnetic environment and other magnetic sources, some researchers have studied the localization of alternating magnetic dipole sources. E theoretical deduction and numerous simulations have shown that the proposed method could obtain the orientation and location information of SSC [9]. In 2015, Li et al proposed an approach based on the genetic algorithm to search the location of the dipole. In 2017, the author proposed a positioning method for moving objectives with alternating magnetic fields using coherent demodulation. In 2020, Song et al proposed a positioning method of lowfrequency magnetic beacons based on the genetic algorithm. A positioning method of alternating magnetic dipole in the near-field zone with single-component magnetometers was introduced in this paper. A hybrid algorithm combining the Gauss–Newton algorithm and genetic algorithm was applied to obtain the track of a moving target, which showed a good agreement with the actual motion information [18,19,20,21,22]
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