Estimation of dipole magnetic moment orientation based on magnetic signature waveform analysis by a magnetic sensor
•A single triaxial magnetic sensor can estimate the dipole magnetic moment direction under given conditions;•The signal received by the triaxial vector sensor can be further decomposed into 9 elements for feature analysis;•The octant of magnetic moment direction is determined by integrating the vect...
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Veröffentlicht in: | Journal of magnetism and magnetic materials 2020-07, Vol.505, p.166761, Article 166761 |
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Sprache: | eng |
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Zusammenfassung: | •A single triaxial magnetic sensor can estimate the dipole magnetic moment direction under given conditions;•The signal received by the triaxial vector sensor can be further decomposed into 9 elements for feature analysis;•The octant of magnetic moment direction is determined by integrating the vector signal;•The direction of magnetic moment is determined by the energy ratio of three orthogonal axial signals.
In this paper, we propose a measurement procedure to estimate the magnetic moment orientation (MMO) of a dipole. Theoretical analysis indicates that magnetic field in each orthogonal direction Bi (i = x, y, z) is found to be a superposition of its three basic elements Bij (i = x, y, z and j = 1, 2, 3) along certain direction, allowing the obtained dipole signature to be decomposed of 9 basic elements. An orthogonal energy ratio (OER) algorithm is used to infer the MMO by calculating the signal energy distribution along each axis. A standard OER database is developed which provides a reference to be compared with the measured OER. The one having the smallest variance is determined as the estimated MMO. Owing to space symmetric property, it generally introduces 8 possible solutions. Then, a mathematic method is presented to define the common characteristics of the magnetic signature in the 8 octants, which is able to identify the octant of unknown target based on detected Bi field. As a result, the unique MMO can be estimated. The experimental results show good estimation accuracy for the dipole orientation with average error of 3.5°. In particular, the algorithm is independent of changing CPA and velocity, which is demonstrated in simulation and experiment. |
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ISSN: | 0304-8853 1873-4766 |
DOI: | 10.1016/j.jmmm.2020.166761 |