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Research Article

Simulation Analysis of Magnetic Gradient Full-Tensor

Measurement System

Lei Xu ,

1

Ning Zhang ,

1

Liqing Fang ,

2

Huadong Chen ,

1

Pengfei Lin ,

1

and Chunsheng Lin

1

1College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China 2Dept. of Artillery, Army Engineering University, Shijiazhuang 050003, China

Correspondence should be addressed to Ning Zhang; [email protected]

Received 13 November 2020; Revised 23 February 2021; Accepted 11 March 2021; Published 20 March 2021 Academic Editor: Ji Wang

Copyright © 2021 Lei Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The magnetic gradient full-tensor measurement system is diverse, and the magnetometer array structure is complex. Aimed at the problem, seven magnetic gradient full-tensor measurement system models are studied in detail. The full-tensor measurement theories of the tensor measurement arrays are analyzed. Under the same baseline distance, the magnetic dipole model is used to simulate the measurement system. Based on different measurement systems, the paper quantitatively compares and analyzes the error of the structure. A more optimized magnetic gradient full-tensor measurement system is suggested. The simulation results show that the measurement accuracy of the planar measurement system is slightly higher than that of the stereo measurement system. Among them, the cross-shaped and square measurement systems have relatively smaller structural errors and higher measurement accuracy.

1. Introduction

The ferromagnetic object magnetized by the geomagnetic field will produce a magnetic field, which will affect the constant distribution of the geomagnetic field. This phenomenon that causes the abnormality of the geomagnetic field is called magnetic anomaly [1]. Magnetic anomaly detection refers to the technology of obtaining several characteristics of the magnetic target with the process of acquiring and processing the magnetic anomaly information of a magnetic target. Magnetic anomaly detection technology has many advantages such as strong anti-interference ability, rich information, and good concealment performance [2–4]. It is widely used in underwater or underground target detection, aerial magnetic survey, navigation and positioning, mineral exploration, and other fields [5–9]. At present, it can be roughly divided into four phases: total magnetic field detection, total magnetic field gradient detection, the magnetic component field detection, and the magnetic gradient full-tensor field detection phase [10]. The phase of magnetic gradient full-tensor detection is the latest development stage of magnetic anomaly detection. It

has unique advantages such as being less affected by system attitude changes and less environmental interference. It can get much richer target information and be not affected by the total magnetic background field basically. This technology has gradually developed into a research hotspot in the fields of Earth resource exploration, aerial exploration, and military reconnaissance, and its application prospects are very broad [11–14].

It is impossible to directly measure the magnetic gradient full tensor. In actual measurement, the magnetic gradient full-tensor measurement system is generally used to measure the components of the magnetic field vector field; and the dif-ference method is used to obtain the full-tensor field of the magnetic gradient approximately. Presently, the magnetic gradient full-tensor measurement system mainly includes two types: superconducting magnetometer and fluxgate magne-tometer [15, 16]. The former has high sensitivity, good sta-bility, and strong reliasta-bility, but the preparation process is complicated and costly. The latter uses several fluxgates to measure the magnetic vector component to obtain the spatial change rate, which is portable, economical, and practical.

Volume 2021, Article ID 6688364, 13 pages https://doi.org/10.1155/2021/6688364

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At present, the magnetic gradient full-tensor measure-ment systems constructed by the fluxgate magnetometer can be divided into two types. One is the two-dimensional plane shape including cross, equilateral triangle, right triangle, and square; the other is three-dimensional, which includes regular tetrahedron, right-angle tetrahedron, and regular tetrahedron. Various systems can achieve the measurement purpose under specific environmental conditions. However, under the same measurement environment, the selection of the measurement system is still unclear, and there is very little analysis in the structure of different systems. But the configuration of the fluxgate magnetometer will have a great impact on the measurement of the magnetic gradient full tensor. It even directly affects the feasibility of measurement. Therefore, it is necessary to analyze and compare the magnetic gradient full-tensor measurement system to seek a more optimized system. Aiming at this problem, this paper establishes the structural models of various magnetic gra-dient full-tensor measurement systems in detail. Using magnetic dipole models, simulation experiments are per-formed to analyze various magnetic gradient full-tensor measurement systems.

2. Magnetic Gradient Full-Tensor

Measurement Elements

The magnetic field is a vector field, and the spatial rate of change in each direction of the component is the tensor of magnetic gradient [17], which includes 9 elements in total. The magnetic gradient full tensor (G) of the magnetic field vector ( B→) can be shown as

G � z2U zx2 z2U zx zy z2U zx zz z2U zy zx z2U zy2 z2U zy zz z2U zz zx z2U zz zy z2U zz2 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎦ ,zBx zx zBx zy zBx zz zBy zx zBy zy zBy zz zBz zx zBz zy zBz zz ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎦ ,Bxx Bxy Bxz Byx Byy Byz Bzx Bzy Bzz ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎦ . (1)

In equation (1), U is the magnetic scalar potential; Bx, By,

and Bzare the three components of the magnetic field at any

point in space (x, y, z); Bij(i, j � x, y, z) is the component

of the magnetic gradient full tensor. According to Maxwell’s equations, in a passive ambient static magnetic field, the divergence and curl of the magnetic field are both zero.

div B→�∇ · B→�0, (2) rot B→�∇ × B,i j k z zx z zy z zz Bx By Bz ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎦ �0. (3)

According to equations (2) and (3),

zBx zx + zBy zy + zBz zz0, zBx zyzBy zx, zBx zzzBz zx, zBy zzzBz zy. ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩ (4)

Therefore, in equation (1), only five elements, Bxx, Bxy,

Bxz, Byy, and Byz, are required to obtain the magnetic

gradient full tensor of the magnetic field.

G � Bxx Bxy Bxz Bxy Byy Byz Bxz Byz −Bxx− Byy ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦. (5)

The essence of the magnetic gradient full tensor is the second-order partial differential of the magnetic scalar potential U and the first-order derivative of the magnetic field vector, which cannot be directly measured in actual operation. Generally, the ratio of the magnetic field to the distance is used to approximately obtain each component of the magnetic gradient full tensor. The difference calculation method is as follows: BijzBi zjΔBi Δdj . (6)

In equation (6), ΔBi is the difference between the

magnetic field components measured by two adjacent vector fluxgates, and Δdj is the distance between the two vector

fluxgates in the direction of j, which is defined as the baseline of the magnetic gradient full-tensor measurement system distance.

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3. Magnetic Gradient Full-Tensor

Measurement System

3.1. Cross Measurement System. The model of the cross-shaped

magnetic gradient full-tensor measurement system is shown in Figure 1. The system is composed of four fluxgate magne-tometers. The center point is taken as the axis center (O) of the system coordinate axis. The fluxgates are marked as 1, 2, 3, and 4, respectively. The centers of No. 1 and No. 3 fluxgates are parallel to the x-axis, and their baseline distance is b. No. 2 and No. 4 fluxgates are parallel to the y-axis, and their baseline distance is also b [18].

The three-component magnetic fields measured by the four fluxgates are as follows:

B1B1x B1y B1z ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦, B2B2x B2y B2z ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦, B3B3x B3y B3z ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦, B4B4x B4y B4z ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎥⎦. (7)

In equation (7), Bi(i �1, 2, 3, 4) is the magnetic field

vector of the fluxgate No. i, and Bij(i �1, 2, 3, 4; j � x, y, z)

is the component of the fluxgate No. i in the j direction. The expression of the magnetic gradient full tensor at the axis O of the system is as follows:

G �1 d B1x− B3x B1y− B3y B1z− B3z B2x− B4x B2y− B4y B2z− B4z B1z− B3z B2z− B4z B3x+ B4y− B􏼐 1x+ B2y􏼑 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎦ . (8)

3.2. Equilateral Triangle Measurement System. The

trian-gular magnetic gradient full-tensor measurement system is composed of three fluxgate magnetometers. No. 1, No. 2, and No. 3 fluxgates are, respectively, located at the apex of the triangle. The side length of the equilateral triangle is the baseline distance (d) of the system. The geometric center of the triangle is taken as the axis center (O) of the system coordinate axis. The system model is shown in Figure 2.

Similar to the cross-shaped measurement system, according to the three components of the magnetic field vector measured by the No. 1, No. 2, and No. 3 fluxgates, the full tensor of the magnetic gradient of the axis can be obtained: G � 1� 3 √ d � 3 √ B1x− B3x􏼁 √�3􏼐B1y− B3y􏼑 √�3 B1z− B3z􏼁 2B2x− B1x+ B3x􏼁 2B2y− B􏼐 1y+ B3y􏼑 2B2z− B1z+ B3z􏼁 � 3 √ B1z− B3z􏼁 2B2z− B1z+ B3z􏼁 􏼐B1y+ B3y􏼑 −2B2y− � 3 √ B1x− B3x􏼁 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎦. (9)

3.3. Right Triangle Measurement System. The model of the

right triangle magnetic gradient full-tensor measurement system is shown in Figure 3. The difference from the equilateral triangle measurement system is that the

connection between the centers of the three fluxgate mag-netometers is isosceles right triangle. The position where the No. 3 fluxgate is located is the axis center (O) of the system coordinate axis, and the right-angle side length d is the

y x z y x z y x z 2 0 y x z 4 3 d y x z 1

Figure 1: Cross-shaped magnetic gradient full-tensor measure-ment system.

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baseline distance. The full tensor of the magnetic gradient of the axis O is shown as follows:

G �1 d B1x− B3x B1y− B3y B1z− B3z B2x− B3x B2y− B3y B2z− B3z B1z− B3z B2z− B3z B3x+ B3y− B􏼐 1x+ B2y􏼑 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎦. (10)

3.4. Square Measurement System. Figure 4 is a square

magnetic gradient full-tensor measurement system model. The center points of the No. 1, No. 2, No. 3, and No. 4 fluxgates are connected to form a square. The center point of the square is taken as the axis center (O) of the coordinate axis of the system. The side length d of the square is the baseline distance, and the magnetic gradient full tensor of the axis O is calculated as

G � 1 2d B1x+ B4x􏼁 − B2x+ B3x􏼁 􏼐B1y+ B4y􏼑 − B􏼐 2y+ B3y􏼑 B1z+ B4z􏼁 − B2z+ B3z􏼁 B1x+ B2x􏼁 − B3x+ B4x􏼁 􏼐B1y+ B2y􏼑 − B􏼐 3y+ B4y􏼑 B1z+ B2z􏼁 − B3z+ B4z􏼁 B1z+ B4z􏼁 − B2z+ B3z􏼁 B1z+ B2z􏼁 − B3z+ B4z􏼁 􏼐B2x+ B3x+ B3y+ B4y􏼑 − B􏼐 1x+ B1y+ B2y+ B4x􏼑 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎦. (11)

3.5. Regular Tetrahedron Shape Measurement System. The

regular tetrahedral magnetic gradient full-tensor measure-ment system is built by 4 fluxgate magnetometers. The connection at the center of the fluxgate forms a regular tetrahedral structure. The structure model is shown in Figure 5. The centers of the No. 1, No. 2, and No. 3 fluxgates

form the bottom surface of a regular tetrahedron, and the center of the bottom triangle is taken as the axis center (O) of the coordinate axis of the system. At the same time, the side length of the regular tetrahedron is the baseline distance (d) of the system. The magnetic field of the center

Ois shown as G �1 d 2B1x− B2x+ B3x􏼁 3 √ 2B1y− B􏼐 2y+ B3y􏼑 3 √ 2B1z− B2z+ B3z􏼁 3 √ B1x+ B2x2B3x 3 √ B1y+ B2y�−2B3y 3 √ B1z+ B2z2B3z 3 √ 3B4x− B1x+ B 2x+ B3x􏼁 6 √ 3B4y− B􏼐 1y+ B2y+ B3y􏼑 6 √ 3B4z− B1z+ B 2z+ B3z􏼁 6 √ ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎦ . (12) y y y o z x x y 3 z z 1 x x 2 z

Figure 2: Equilateral triangle magnetic gradient full-tensor mea-surement system. y x z 2 3 y x d 1 y z x z O d

Figure 3: Right triangle magnetic gradient full-tensor measure-ment system.

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3.6. Right-Angle Tetrahedron Shape Measurement System.

The model of the right-angled tetrahedral magnetic gradient full-tensor measurement system is shown in Figure 6. The line connecting the centers of the fluxgate magnetometers No. 1, No. 2, and No. 3 forms the base of an isosceles right triangle, and the length of the right-angle side is the baseline distance (d). The distance between No. 4 and No. 1 fluxgates is also d, and the center of No. 1 fluxgate is the axis center (O) of the coordinate axis of the system. The full tensor of the magnetic gradient system is

G �1 d B2x− B1x B2y− B1y B2z− B1z B3x− B1x B3y− B1y B3z− B1z B4x− B1x B4y− B1y B4z− B1z ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎦ . (13)

3.7. Hexahedron Shape Measurement System. As shown in

Figure 7, the regular hexahedron shape measurement system model is composed of 8 fluxgate magnetometers centered at the apex of the regular hexahedron. The side length of the regular hexahedron is the baseline distance d, and the center of the regular hexahedron is the coordinate axis center (O) of the system. The full-tensor expression of the magnetic gradient at the axis is

G �1 4d B1x+ B4x+ B5x+ B6x− B2x+ B3x+ B7x+ B8x􏼁 B1y+ B4y+ B5y+ B6y− B􏼐2y+ B3y+ B7y+ B8y􏼑 B1z+ B4z+ B5z+ B6z− B2z+ B3z+ B7z+ B8z􏼁 B3x+ B4x+ B6x+ B7x− B1x+ B2x+ B5x+ B8x􏼁 B3y+ B4y+ B6y+ B7y− B􏼐1y+ B2y+ B5y+ B8y􏼑 B3z+ B4z+ B6z+ B7z− B1z+ B2z+ B5z+ B8z􏼁 B1z+ B4z+ B5z+ B6z− B2z+ B3z+ B4z+ B8z􏼁 B3z+ B4z+ B6z+ B7z− B1z+ B2z+ B5z+ B8z􏼁 B2x+ B3x+ B4x+ B8x+ B1y+ B2y+ B5y+ B8y− B􏼐1x+ B4x+ B5x+ B6x+ B3y+ B4y+ B6y+ B7y􏼑 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎦. (14)

The structure comparison of seven kinds of full-tensor measurement systems is shown in Table 1.

It can be seen from Table 1 that the measurement system can be divided into two types: two-dimensional plane and three-dimensional stereo according to the number of dimensions, which also determines the type of observation point. Among all measurement systems, the

number of magnetometers used in triangle is the smallest, which is 3; the number of magnetometers used in the regular hexahedron is the largest, which is 8. The three-dimensional shape measurement system can measure 9 independent components individually, while the two-dimensional plane can measure 6 independent components. y y y 3 z x z x d 4 z 2 y z o x 1 x z x y

Figure 4: Square magnetic gradient full-tensor measurement system. 4 2 3 1 O x z d y

Figure 5: The full-tensor measurement system of the regular tetrahedral magnetic gradient.

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4. Simulation Experiment of Magnetic Gradient

Full-Tensor Measurement System

4.1. Magnetic Dipole Model. When the distance between the

magnetic target point and the observation point is more than 2.5 times the diameter or length of the magnetic target point, the magnetic field generated by the magnetic target point can be equivalent to a magnetic dipole [19–21]. In the process of measuring the magnetic gradient full tensor, the magnetic gradient full-tensor measurement system is often far away from the magnetic target. According to actual experience, a magnetic dipole model can be used to replace the magnetic target for modeling.

As shown in Figure 8, the magnetic dipole model is established. In the Cartesian coordinate system, the position of the magnetic target is (x0, y0, z0), and the position of the

observation point (x, y, z) is the axis of the magnetic gra-dient full-tensor measurement system. The projection components at the observation point of the magnetic anomaly field generated are represented by Bx, By, and Bz,

which are the three-component magnetic anomaly. The magnetic anomaly vector field generated by the magnetic target at the observation point is

Table 1: Comparison table of measurement system structure.

Element system Dimension Number of magnetometers Number of independentcomponents Observation points

Cross shape 2 4 6 Plane center

Equilateral triangle shape 2 3 6 Plane center

Right triangle shape 2 3 6 Plane center

Square shape 2 4 6 Plane center

Regular tetrahedron shape 3 4 9 Three-dimensional

center Right-angle tetrahedron

shape 3 4 9

Three-dimensional center

Hexahedron shape 3 8 9 Three-dimensional

center z z o 3 z x x 1 4 d d 2 z x x y y y y

Figure 6: Right-angled tetrahedral magnetic gradient full-tensor measurement system.

2 3 4 7 x 8 1 5 d 6 z O y

Figure 7: The full-tensor measurement system of the hexahedral magnetic gradient.

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B → � μ0 4πr3 3(m· r) rr2 − m → 􏼢 􏼣. (15)

In equation (15), Bis the magnetic field vector; μ0�

4 × 10−7(H/m) is the magnetic permeability of the vacuum;

r

� (x − x0, y − y0, z − z0) is the position vector of the observation point relative to the target point; r is the modulus of the vector r; m� (mx, my, mz)is the magnetic moment vector of the magnetic dipole. Therefore, the co-ordinate equation of the magnetic dipole is

B → � Bx By Bz ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎦,μ0 4πr5 3x2− r2 3xy 3xz 3xy 3y2− r2 3yz 3xz 3yz 3z2− r2 ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎦ mx my mz ⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎤⎥⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎥⎥ ⎥⎥⎥⎥⎥⎥⎦. (16)

The observation point in Figure 8 is the center point O in Figure 1 to Figure 7. The magnetic field value of point O can be obtained according to the coordinate equation (16). In order to obtain the full tensor of the magnetic gradient at point O, it is necessary to determine the location based on the structural parameters of the measurement system. The magnetic field value of each point can be determined by using the magnetic dipole equation several times. Take Figure 1 as an example to calculate the coordinates of No. 1 to No. 4 fluxgates, as shown in the following equation:

r1� x +d 2, y, z 􏼠 􏼡, r2� x, y +d 2, z 􏼠 􏼡, r3� x −d 2, y, z 􏼠 􏼡, r4� x, y −d 2, z 􏼠 􏼡. (17)

In equation (17), r1, r2, r3, r4are the position coordinates

of No. 1 to No. 4, with point O as the reference point. The magnetic field value of each magnetometer can be obtained, and then the full tensor of the magnetic gradient can be gotten.

4.2. Simulation Experiment. Assuming that the magnetic

dipole is located in a vacuum, the position of the magnetic source is (3, 4, 5). The magnetic declination angle D � 15°, the magnetic inclination angle I � 30°, the magnetic

moment modulus m � 200A · m2, m

x� mcos I cos d,

my� mcos I sin d, mzsin I, and the grid area is

20m × 60m. During the sampling process, the attitude of the tensor measurement system is unchanged, and it moves unidirectionally along the x-axis. The sampling interval is set to 1 m; the baseline distance is set to 0.3 m. Taking the cross-shaped magnetic gradient full-tensor measurement system as an example, the comparison between distribution value and theoretical value of tensor is shown in Figure 9. The full-tensor distribution value of the seven structures is shown in Figure 10. In order to highlight the impact of the structural error in measurement system on the tensor measurement, the output values of the three-axis fluxgate are ideal during the simulation.

4.3. Simulation Results and Analysis. It can be seen from

Figure 10 that each measurement system can measure the full tensor within the allowable error range, but the error between the tensor value and theoretical value obtained from different structures is different. Among them, the errors of cross, equilateral triangle, right triangle, and square are relatively small. In order to describe the measurement error of tensor more clearly, equation (18) is used to calculate the relative error (RE) of each point in the simulation. In Figure 11, the measurement errors of each point of the measurement system are compared and shown.

RE(i) � f(i) − y(i)(i � 1, 2, 3, . . .). (18) In equation (18), f(i) is the measured value of each point, and y(i) is the theoretical value of each point.

It can be seen from Figure 11(a) that the Bxx measured by the square magnetic gradient full-tensor measurement system has the highest accuracy. Within the range of ±30 nT/ m, the maximum measurement error does not exceed 0.02 nT/m. The accuracy of right-angle tetrahedron is the worst, exceeding 2 nT/m. As can be seen from Figure 11(b), the Bxy measured by the cross-shaped magnetic gradient full-tensor measurement system has the highest accuracy. Within the range of ±30 nT/m, the maximum measurement error is not about 0.03 nT/m. The measurement accuracy of the right-angled tetrahedron is the worst, reaching 1.7 nT/m.

y z Observation point (x, y, z) Target point (x0, y0, z0) By Bx Bz x

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It can be seen in Figure 11(c) that the Bxz measured by the cross-shaped magnetic gradient full-tensor measurement system has the highest accuracy. In the range of ±30 nT/m, the maximum measurement error does not exceed 0.02 nT/ m. The measurement accuracy of the right-angled tetrahe-dron is the worst, exceeding 2 nT/m. It can be seen in Figure 11(d) that Byy measured by the cross-shaped mag-netic gradient full-tensor measurement system has the highest accuracy. Within the range of ±30 nT/m, the maximum measurement error does not exceed 0.02 nT/m, and the measurement accuracy of the regular hexahedron is the worst, reaching 30 nT/m. It can be seen in Figure 11(e) that the Byz accuracy measured by the cross-shaped

magnetic gradient full-tensor measurement system is the highest. Within the range of ±30 nT/m, the maximum measurement error does not exceed 0.01 nT/m, and the measurement accuracy of the regular tetrahedron is the worst, reaching 15 nT/m. From Figure 11, it is basically possible to analyze the pros and cons of the seven mea-surement systems for each component, and the order from the best to the worst is shown in Table 2.

In order to further test the overall measurement accuracy of each system, equation (19) is used to calculate the root mean square error (RMSE) [22] to quantitatively analyze the overall deviation of the measurement system. The calculated values are shown in Table 3.

20 10 0 –10 –20 –30 –20 0 20 Location of system x (m) 40 Bxx (nT/m) Theoretical value Cross-shaped system 20 10 0 –10 –20 –30 –20 0 20 Location of system x (m) 40 Bxy (nT/m) Theoretical value Cross-shaped system 20 10 0 –10 –20 –30 –20 0 20 Location of system x (m) 40 Bxz (nT/m) Theoretical value Cross-shaped system 15 10 5 0 –5 –20 0 20 Location of system x (m) 40 Byy (nT/m) Theoretical value Cross-shaped system 40 30 20 10 0 –10 –20 0 20 Location of system x (m) 40 Byz (nT/m) Theoretical value Cross-shaped system

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20 10 0 –10 –20 –30 –20 0 20 Location of system x (m) 40 Bxx (nT/m) 20 10 0 –10 –20 –30 –20 0 20 Location of system x (m) 40 Bxy (nT/m) 20 10 0 –10 –20 –30 –20 0 20 Location of system x (m) 40 Bxz (nT/m) 15 10 5 0 –5 –20 0 20 Location of system x (m) 40 Byy (nT/m) Theoretical value Cross shape Equilateral triangle shape Right triangle shape

Square shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

Theoretical value Cross shape Equilateral triangle shape Right triangle shape

Square shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

Theoretical value Cross shape Equilateral triangle shape Right triangle shape

Square shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape Theoretical value

Cross shape Equilateral triangle shape Right triangle shape

Square shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

40 30 20 10 0 –10 –20 0 20 Location of system x (m) 40 Byz/ (nT/m) Theoretical value Cross shape Equilateral triangle shape Right triangle shape

Square shape

Regular tetrahedron shape Right-angle

tetrahedron shape Right triangle shape

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0.1 0.05 0 –0.05 Bxx relative error (nT/m) –0.1 –20 –10 0 10 Location of system x (m) 20 30 40 Cross shape Square shape Right triangle shape

3 2 0 1 –1 Bxx relative error (nT/m) –2 –20 –10 0 10 Location of system x (m) 20 30 40 Equilateral triangle shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

(a) 0.04 0.02 0 –0.02 –0.04

Bxy relative error (nT/m)

–0.06 –20 –10 0 10 Location of system x (m) 20 30 40 Cross shape Square shape Right triangle shape

2

0 1

–1

Bxy relative error (nT/m)

–2 –20 –10 0 10 Location of system x (m) 20 30 40 Equilateral triangle shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

(b) 0.05 0 –0.05 Bxz relative error (nT/m) –0.1 –20 –10 0 10 Location of system x (m) 20 30 40 Cross shape Square shape Right triangle shape

2 0 1 –1 Bxz relative error (nT/m) –3 –2 –20 –10 0 10 Location of system x (m) 20 30 40 Equilateral triangle shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

(c)

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20

0

–20

Byy relative error (nT/m)

–40 –20 –10 0 10 Location of system x (m) 20 30 40 Cross shape Square shape Right triangle shape

10

0 5

–5

Byy relative error (nT/m)

–15 –10 –20 –10 0 10 Location of system x (m) 20 30 40 Equilateral triangle shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

(d)

0.1

0.05

0

–0.05

Byz relative error/(nT/m)

–0.1 –20 –10 0 10 Location of system x (m) 20 30 40 Cross shape Square shape Right triangle shape

5

0

–5

Byz relative error/(nT/m)

–15 –10 –20 –10 0 10 Location of system x (m) 20 30 40 Equilateral triangle shape Regular tetrahedron shape Right-angle tetrahedron shape Right triangle shape

(e)

Figure 11: Comparison of measured RE of seven magnetic gradient full-tensor systems.

Table 2: Arrangement of magnetic gradient full-tensor measurement system.

Tensors Pros and cons

Bxx (nT/ m)

Square

shape Cross shape

Hexahedron shape

Regular tetrahedron shape

Equilateral

triangle shape Right triangle shape

Right-angle tetrahedron shape Bxy (nT/

m)

Cross

shape Square shape

Hexahedron shape

Regular tetrahedron shape

Equilateral

triangle shape Right triangle shape

Right-angle tetrahedron shape Bxz (nT/

m)

Cross

shape Square shape

Hexahedron shape

Regular tetrahedron shape

Equilateral

triangle shape Right triangle shape

Right-angle tetrahedron shape Byy (nT/

m)

Cross

shape Square shape

Right triangle shape Right-angle tetrahedron shape Equilateral triangle shape Regular

tetrahedron shape Hexahedron shape

Byz (nT/ m) Cross shape Right triangle shape

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RMSE � ������������� 1 n 􏽘 n i�1 fi− yi􏼁2 􏽶 􏽴 (i �1, 2, 3, ...., n). (19)

In equation (19), fiis the measured value of each point,

and yiis the theoretical value of each point.

It can be seen from Tables 2 and 3 that, under the same measurement conditions, the cross-shaped and square measurement systems have relatively high accuracy, while the right-angled triangle and right-angled tetrahedral measurement systems have relatively great errors. Among them, the overall measurement accuracy of the cross shape is the highest in the analyzed measurement accuracy.

5. Conclusion

In this paper, seven magnetic gradient full-tensor mea-surement system models are studied in detail, and the full-tensor measurement theory of the full-tensor measurement array is analyzed. The magnetic dipole model is used to simulate the measurement system. Different measurement systems are quantitatively compared and analyzed. The analysis shows that, under the same measurement conditions, the cross-shaped and square measurement systems have smaller structural errors and higher measurement accuracy. In addition, the cross-shaped measurement system has the best overall performance. Of course, in engineering practice, the planar magnetic gradient full-tensor measurement system is easy to install, and the center point of the structure is easier to find. The three-dimensional magnetic gradient full-tensor measurement system can obtain many independent com-ponents and can directly obtain the vertical component. The magnetic gradient full-tensor measurement system should be selected to use according to actual needs. The research results in this paper provide a theoretical reference for the construction and application development of the magnetic gradient full-tensor system.

Data Availability

The data that support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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