CN108873086B - A method for locating magnetic targets using the total geomagnetic field gradient array - Google Patents
A method for locating magnetic targets using the total geomagnetic field gradient array Download PDFInfo
- Publication number
- CN108873086B CN108873086B CN201810574970.0A CN201810574970A CN108873086B CN 108873086 B CN108873086 B CN 108873086B CN 201810574970 A CN201810574970 A CN 201810574970A CN 108873086 B CN108873086 B CN 108873086B
- Authority
- CN
- China
- Prior art keywords
- magnetic
- target
- geomagnetic
- field
- sensors
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/40—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for measuring magnetic field characteristics of the earth
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- Physics & Mathematics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Measuring Magnetic Variables (AREA)
- Measurement Of Length, Angles, Or The Like Using Electric Or Magnetic Means (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
Description
技术领域technical field
本发明属于地磁探测技术领域,具体涉及一种采用地磁总场梯度阵列对磁性目标定位的方法。The invention belongs to the technical field of geomagnetic detection, and in particular relates to a method for locating a magnetic target by using a geomagnetic total field gradient array.
背景技术Background technique
地磁场是地球的一个天然的物理场,它有各种不同的起源,由不同变化规律的磁场成分叠加而成。按照场源位置划分,地磁场可以分为内源场和外源场。如果考虑地磁场随时间的变化特征,随时间变化较快的地磁场成为地球的变化磁场,随时间变化较慢或者基本不变的地磁场成为地球的稳定磁场。The geomagnetic field is a natural physical field of the earth. It has various origins and is formed by the superposition of magnetic field components with different changing laws. According to the location of the field source, the geomagnetic field can be divided into internal source field and external source field. If we consider the changing characteristics of the geomagnetic field with time, the geomagnetic field that changes rapidly with time becomes the changing magnetic field of the earth, and the geomagnetic field that changes slowly or basically remains unchanged with time becomes the stable magnetic field of the earth.
一个带有磁性的目标产生的磁场会导致空间地磁场分布的变化,从而能够产生磁异常。当观测点与目标距离大于目标尺度2-3倍及以上时,磁性目标在观测点产生的磁场一般被看作磁偶极子远场。The magnetic field generated by a magnetic target will lead to changes in the distribution of the geomagnetic field in space, which can produce magnetic anomalies. When the distance between the observation point and the target is 2-3 times greater than the target scale, the magnetic field generated by the magnetic target at the observation point is generally regarded as the magnetic dipole far field.
对磁性目标定位时,可采用能够测量地磁三分量的矢量磁传感器或者能够测量地磁总场的标量磁传感器。矢量磁传感器安装和使用相对复杂,初始姿态要严格校正,工作姿态要实时测量。矢量磁传感器的角度误差为0.05°时,测量的地磁误差大概为50nT。因此,实时补偿矢量磁传感器姿态变化对测量的影响是必需的,也是有一定难度的。一般情况下,市场上常见的矢量磁传感器(如普通磁通门磁力仪)分辨率相对偏低(相对于标量光泵磁力仪),因此基于矢量测量的目标定位距离不能太长,目标磁矩不能太小。When locating a magnetic target, a vector magnetic sensor capable of measuring the three components of geomagnetism or a scalar magnetic sensor capable of measuring the total geomagnetic field can be used. The installation and use of the vector magnetic sensor is relatively complicated, the initial attitude must be strictly calibrated, and the working attitude must be measured in real time. When the angle error of the vector magnetic sensor is 0.05°, the measured geomagnetic error is about 50nT. Therefore, it is necessary and difficult to compensate the influence of the attitude change of the vector magnetic sensor on the measurement in real time. In general, the resolution of common vector magnetic sensors (such as ordinary fluxgate magnetometers) on the market is relatively low (compared to scalar optical pump magnetometers), so the target positioning distance based on vector measurement cannot be too long, and the target magnetic moment Can't be too small.
综上所述,现有技术中存在分辨率低,安装使用复杂,探测距离近,被探测物体要求较高,适用范围小等问题。To sum up, there are problems in the prior art such as low resolution, complex installation and use, short detection distance, high requirements for detected objects, and small application range.
发明内容Contents of the invention
本发明的目的在于对磁性目标进行准确快速简便的追踪和定位。首先构建由七个标量磁传感器(光泵磁力仪)组成的传感器阵列,然后基于磁偶极子远场模型,建立地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系。采用矩阵变换,把求解参数消元缩减到三个。建立适应度函数,采用粒子群算法对磁性目标定位。The purpose of the present invention is to track and locate the magnetic target accurately, quickly and easily. First, a sensor array composed of seven scalar magnetic sensors (optical pump magnetometers) is constructed, and then based on the magnetic dipole far-field model, the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and magnetic moment vector is established. Using matrix transformation, the solution parameter elimination is reduced to three. The fitness function is established, and the particle swarm algorithm is used to locate the magnetic target.
一种采用地磁总场梯度阵列对磁性目标定位的方法,包括以下步骤:A method for locating a magnetic target using a geomagnetic total field gradient array, comprising the following steps:
(1)构建由七个标量磁传感器组成的传感器阵列;(1) Build a sensor array consisting of seven scalar magnetic sensors;
(2)根据所述传感器阵列,基于磁偶极子远场模型,建立地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系;(2) according to the sensor array, based on the magnetic dipole far-field model, establish the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and the magnetic moment vector;
(3)根据所述地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系,采用矩阵变换,把求解参数消元缩减到三个;(3) according to the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and the magnetic moment vector, matrix transformation is adopted to reduce the solution parameter elimination to three;
(4)建立适应度函数,用粒子群算法计算上述适应度函数的最小值,求解目标位置。(4) Establish fitness function, use particle swarm algorithm to calculate the minimum value of the above fitness function, and solve the target position.
所述构建由七个标量磁传感器组成的传感器阵列,包括:The construction consists of a sensor array consisting of seven scalar magnetic sensors, including:
阵列中心为坐标原点o,七个传感器位于原点及三个坐标轴上,阵列中各传感器的坐标为T0(0,0,0),为防止传感器间相互干扰,L≥1m;The center of the array is the coordinate origin o, seven sensors are located on the origin and three coordinate axes, and the coordinates of each sensor in the array are T 0 (0,0,0), In order to prevent mutual interference between sensors, L≥1m;
其中,L为每一坐标轴上两个远端传感器的距离。Wherein, L is the distance between two remote sensors on each coordinate axis.
所述根据所述传感器阵列,基于磁偶极子远场模型,建立地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系,包括:According to the sensor array, based on the magnetic dipole far-field model, the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and magnetic moment vector is established, including:
每台标量磁传感器测量值Ti都是地磁正常场BE和目标异常场Bi相叠加的总场模,即The measured value T i of each scalar magnetic sensor is the total field modulus of the superposition of the geomagnetic normal field B E and the target abnormal field B i , namely
Ti=|BE+Bi|T i =|B E +B i |
U=[cos(I0)cos(D0)cos(I0)sin(D0)sin(I0)]=[a b c]U=[cos(I 0 )cos(D 0 )cos(I 0 )sin(D 0 )sin(I 0 )]=[abc]
远场条件表述为:The far-field condition is expressed as:
3LA≤r、L<r、Bi<BE 3L A ≤ r, L < r, B i < B E
在远场条件下:Under far-field conditions:
Ti=|BE+Bi|=BE+U·Bi T i =|B E +B i |=B E +U·B i
其中,U为BE的方向向量,I0为地磁倾角,D0为地磁偏角,BE是地磁正常场,Bi是目标异常场,a=cos(I0)cos(D0)、b=cos(I0)sin(D0)、c=sin(I0),LA为目标的最大几何尺度,r为观测点与目标的距离,L为每一坐标轴上两个远端传感器的距离,BE为BE的模,Bi为Bi的模。Among them, U is the direction vector of B E , I 0 is the geomagnetic inclination, D 0 is the geomagnetic declination, B E is the normal field of geomagnetic field, B i is the abnormal field of the target, a=cos(I 0 )cos(D 0 ), b=cos(I 0 )sin(D 0 ), c=sin(I 0 ), L A is the maximum geometric scale of the target, r is the distance between the observation point and the target, L is the two far ends on each coordinate axis The distance of the sensor, B E is the modulus of B E , and Bi is the modulus of Bi.
所述根据所述传感器阵列,基于磁偶极子远场模型,建立地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系,包括:According to the sensor array, based on the magnetic dipole far-field model, the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and magnetic moment vector is established, including:
令(xA,yA,zA)为目标位置,(xi,yi,zi)是传感器i位置,得:Let (x A , y A , z A ) be the target position, and ( xi , y i , zi ) be the position of sensor i, we get:
令得:make have to:
Ti=BE+ω·UPiMT i =B E +ω·UP i M
Ti=BE+ω(QiMx+SiMy+HiMz)T i =B E +ω(Q i M x +S i M y +H i M z )
其中,Bi是目标异常场,Bix、Biy、Biz是Bi的直角坐标分量,Mx、My、Mz是目标磁矩矢量M的直角坐标分量, Among them, B i is the target anomalous field, B ix , B iy , B iz are the rectangular coordinate components of Bi , M x , M y , M z are the rectangular coordinate components of the target magnetic moment vector M,
Qi=a·fi 11+b·fi 21+c·fi 31,Si=a·fi 12+b·fi 22+c·fi 32,Hi=a·fi 13+b·fi 23+c·fi 33。Q i =a·f i 11 +b·f i 21 +c·f i 31 , S i =a·f i 12 +b·f i 22 +c·f i 32 ,H i =a·f i 13 +b·f i 23 +c·f i 33 .
所述根据所述地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系,采用矩阵变换,把求解参数消元缩减到三个,包括:According to the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and the magnetic moment vector, matrix transformation is adopted to reduce the solution parameter elimination to three, including:
在七个传感器中,选出三组传感器,每组由两个磁传感器i和j组成,i、j=0,1,2......6。每组传感器测量值的差值ΔTij=Ti-Tj,且这三个差值线性无关;Among the seven sensors, three groups of sensors are selected, each group consists of two magnetic sensors i and j, i, j=0, 1, 2...6. The difference ΔT ij =T i -T j of the measured values of each group of sensors, and these three differences are linearly independent;
将磁矩分量用磁性目标的位置坐标表示:Express the magnetic moment component in terms of the position coordinates of the magnetic target:
地磁总场测量值Ti的梯度Gi:The gradient G i of the measured value T i of the total geomagnetic field:
原点o的地磁总场梯度值G0为:The total geomagnetic field gradient value G 0 at the origin o is:
其中,U为BE的方向向量,Mx、My、Mz是目标磁矩矢量M的直角坐标分量, Gix、Giy、Giz是Gi的直角坐标分量。in, U is the direction vector of BE, M x , M y , M z are the rectangular coordinate components of the target magnetic moment vector M, and G ix , G iy , G iz are the rectangular coordinate components of G i .
所述建立适应度函数,用粒子群算法计算上述适应度函数的最小值,求解目标位置,包括:Described establishment fitness function, calculates the minimum value of above-mentioned fitness function with particle swarm optimization algorithm, solves target position, comprises:
当L<<r的远场情况下,各传感器同步测量得到ΔT12、ΔT34、ΔT56,可得原点地磁总场梯度测量值其中是的直角坐标分量,When L<<r in the far-field situation, each sensor measures synchronously to obtain ΔT 12 , ΔT 34 , ΔT 56 , and the measured value of the total geomagnetic field gradient at the origin can be obtained in Yes Cartesian coordinate components of ,
显然:Obviously:
建立粒子群算法求解必需的适应度函数F的表达式为:The expression of the fitness function F necessary to establish the particle swarm algorithm solution is:
其中,L为每一坐标轴上两个远端传感器的距离,r为观测点与目标的距离, 是的直角坐标分量。Among them, L is the distance between two remote sensors on each coordinate axis, r is the distance between the observation point and the target, Yes The Cartesian coordinate components of .
本发明的有益效果在于:The beneficial effects of the present invention are:
分辨率相对较高,可以对弱磁目标定位,定位距离远、范围大。通过专门的算法设计,可以快速求解定位方程测量时只要避开光泵磁力仪死区方向,无需实时测量和补偿每个传感器姿态,简便快速。The resolution is relatively high, and it can locate weak magnetic targets with a long positioning distance and a large range. Through the special algorithm design, the positioning equation can be quickly solved, as long as the dead zone direction of the optical pump magnetometer is avoided during measurement, there is no need to measure and compensate the attitude of each sensor in real time, which is simple and fast.
附图说明Description of drawings
图1是地磁总场梯度测量阵列结构图。Figure 1 is a structure diagram of the geomagnetic total field gradient measurement array.
图2是传感器测量差值ΔT20与目标位置xA的关系曲线。Fig. 2 is the relationship curve between the sensor measurement difference ΔT 20 and the target position x A.
图3是传感器测量差值ΔT40与目标位置xA的关系曲线。FIG. 3 is a graph showing the relationship between the sensor measurement difference ΔT 40 and the target position xA.
图4是传感器测量差值ΔT60与目标位置xA的关系曲线。FIG. 4 is a graph showing the relationship between the sensor measurement difference ΔT 60 and the target position x A .
图5是运动目标的磁法定位结果。Figure 5 is the result of magnetic positioning of moving targets.
具体实施方式Detailed ways
下面结合附图对本发明做进一步描述。The present invention will be further described below in conjunction with the accompanying drawings.
本发明的目的在于对磁性目标进行准确快速简便的追踪和定位。首先构建由七个标量磁传感器(光泵磁力仪)组成的传感器阵列,然后基于磁偶极子远场模型,建立地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系。采用矩阵变换,把求解参数消元缩减到三个。建立适应度函数,采用粒子群算法对磁性目标定位。The purpose of the present invention is to track and locate the magnetic target accurately, quickly and easily. First, a sensor array composed of seven scalar magnetic sensors (optical pump magnetometers) is constructed, and then based on the magnetic dipole far-field model, the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and magnetic moment vector is established. Using matrix transformation, the solution parameter elimination is reduced to three. The fitness function is established, and the particle swarm algorithm is used to locate the magnetic target.
本发明提供了一种对磁性目标定位的方法,采用多个标量磁传感器构成空间阵列,测量地磁总场梯度,通过专门设计的算法对磁性目标定位。该算法通过对地磁总场梯度矩阵进行变换,分离变量并消除目标的磁矩矢量,用目标空间位置坐标表示目标磁矩矢量三分量,将磁场梯度方程中六个未知数消元减少到三个。建立关于磁场梯度的适应度函数,采用粒子群算法对目标位置求解。本发明所提出的对磁性目标定位的方法,测量精度高,探测距离远,定位快速,操作简便可靠。为磁法目标定位提供了一种新的方法。为地下和水下考古、管线检测、能源矿藏勘测、扫雷反潜等磁性目标探测定位及识别提供参考,有一定应用意义。The invention provides a method for locating a magnetic target, which uses a plurality of scalar magnetic sensors to form a space array, measures the gradient of the total geomagnetic field, and locates the magnetic target through a specially designed algorithm. The algorithm transforms the total geomagnetic field gradient matrix, separates variables and eliminates the magnetic moment vector of the target, and uses the spatial position coordinates of the target to represent the three components of the magnetic moment vector of the target, reducing the six unknowns in the magnetic field gradient equation to three. The fitness function about the magnetic field gradient is established, and the particle swarm algorithm is used to solve the target position. The method for positioning a magnetic target proposed by the invention has high measurement accuracy, long detection distance, fast positioning, and simple and reliable operation. A new method is provided for magnetic target location. It provides a reference for the detection, positioning and identification of magnetic targets such as underground and underwater archaeology, pipeline detection, energy and mineral deposit survey, mine clearance and anti-submarine, and has certain application significance.
本方法用七个标量磁传感器构建了地磁总场梯度测量阵列,设计了目标定位算法,提出了一种新的求解方法,可对磁性目标准确快速定位。In this method, seven scalar magnetic sensors are used to construct the geomagnetic total field gradient measurement array, a target positioning algorithm is designed, and a new solution method is proposed, which can accurately and quickly locate the magnetic target.
(1)按照附图1所示,用七个标量磁传感器构成阵列。阵列中心为坐标原点o,七个传感器位于原点及三个坐标轴上,对称排布。每一坐标轴上两个远端传感器相距为L。阵列中各传感器的坐标为T0(0,0,0), (1) As shown in Figure 1, seven scalar magnetic sensors are used to form an array. The center of the array is the coordinate origin o, and the seven sensors are located on the origin and three coordinate axes, arranged symmetrically. The distance between the two remote sensors on each coordinate axis is L. The coordinates of each sensor in the array are T 0 (0,0,0),
(2)建立定位算法方程组。其过程是:基于上述阵列,建立传感器测量值与磁性目标位置矢量和磁矩矢量关系,如式(3)所示。采用矩阵变换,以目标位置坐标表示磁矩矢量的三分量,如(6)式所示。把(3)式中关于目标磁矩和位置的六个未知数消元缩减为三个,得到可求解的总场梯度方程组,如式(12)所示。建立关于地磁总场梯度的适应度函数,如式(13)所示。(3) 应用粒子群算法求解地磁总场梯度测量阵列方程组,关键环节是应用粒子群算法计算上述适应度函数的最小值,求解目标位置实现目标定位。阵列中每一坐标轴上远端的两个传感器间距L存在最小值限制。L存在最小值,由预设的目标磁矩、定位范围和定位精度代入适应度函数(13)式,求解L最小值。且存在另一必要条件,即采用的传感器工作时存在微量电磁辐射,为防止相互干扰,任意两个传感器之间的距离不小于0.5m。(2) Establish positioning algorithm equations. The process is: based on the above array, establish the relationship between the sensor measurement value and the magnetic target position vector and magnetic moment vector, as shown in formula (3). Using matrix transformation, the three components of the magnetic moment vector are represented by the coordinates of the target position, as shown in (6). The elimination of six unknowns about the target magnetic moment and position in equation (3) is reduced to three, and the total field gradient equations that can be solved are obtained, as shown in equation (12). Establish the fitness function about the total geomagnetic field gradient, as shown in formula (13). (3) The particle swarm optimization algorithm is used to solve the array equations of the geomagnetic total field gradient measurement. The key link is to use the particle swarm optimization algorithm to calculate the minimum value of the above fitness function, and solve the target position to realize the target positioning. There is a minimum limit on the distance L between the two sensors at the far end on each coordinate axis in the array. There is a minimum value of L, and the preset target magnetic moment, positioning range and positioning accuracy are substituted into the fitness function (13) to solve the minimum value of L. And there is another necessary condition, that is, there is a small amount of electromagnetic radiation when the sensors used are working. In order to prevent mutual interference, the distance between any two sensors is not less than 0.5m.
采用本发明选择的传感器构建阵列和使用阵列时,仅需避开光泵磁传感器死区方向,无需实时测量和补偿每个磁传感器姿态。因此该目标定位方法简便快速。When the sensor selected by the present invention is used to construct an array and use the array, it is only necessary to avoid the direction of the dead zone of the optical pump magnetic sensor, and it is not necessary to measure and compensate the attitude of each magnetic sensor in real time. Therefore, the target location method is simple and fast.
在地下及水下矿藏勘测、管线监测、考古、沉船勘测、扫雷反潜等方面磁法探测具有重要应用意义。因为上述目标使本区域地磁场产生异常,因而用地磁匹配技术可以实现目标定位和识别。在石油能源勘测领域也经常采用地磁探测技术作为辅助勘测手段。在卫星、飞机、舰船、潜艇、车辆等导航应用中,地磁辅助导航提供了一种非常重要的方法和途径。在火山、地震、海啸等自然灾害发生前后,磁暴、地磁异常现象经常伴随发生,这对灾害中心定位和预报提供了可能的技术途径。因此磁法定位技术具有广阔应用领域。本发明提出的一种采用地磁总场梯度对磁性目标定位的方法可应用于上述技术领域。Magnetic detection has important application significance in underground and underwater mineral survey, pipeline monitoring, archaeology, shipwreck survey, mine sweeping and anti-submarine, etc. Because the above-mentioned targets cause anomalies in the geomagnetic field in this area, geomagnetic matching technology can be used to achieve target positioning and identification. In the field of oil and energy exploration, geomagnetic detection technology is often used as an auxiliary survey method. In navigation applications such as satellites, aircraft, ships, submarines, and vehicles, geomagnetic-assisted navigation provides a very important method and approach. Before and after the occurrence of natural disasters such as volcanoes, earthquakes, and tsunamis, magnetic storms and geomagnetic anomalies often occur together, which provides a possible technical approach for the location and prediction of disaster centers. Therefore, magnetic positioning technology has a wide range of applications. A method for locating a magnetic target by using the total geomagnetic field gradient proposed by the present invention can be applied to the above-mentioned technical fields.
地磁场是地球的一个天然的物理场,它有各种不同的起源,由不同变化规律的磁场成分叠加而成。按照场源位置划分,地磁场可以分为内源场和外源场。如果考虑地磁场随时间的变化特征,随时间变化较快的地磁场成为地球的变化磁场,随时间变化较慢或者基本不变的地磁场成为地球的稳定磁场。The geomagnetic field is a natural physical field of the earth. It has various origins and is formed by the superposition of magnetic field components with different changing laws. According to the location of the field source, the geomagnetic field can be divided into internal source field and external source field. If we consider the changing characteristics of the geomagnetic field with time, the geomagnetic field that changes rapidly with time becomes the changing magnetic field of the earth, and the geomagnetic field that changes slowly or basically remains unchanged with time becomes the stable magnetic field of the earth.
一个带有磁性的目标产生的磁场会导致空间地磁场分布的变化,从而能够产生磁异常。当观测点与目标距离大于目标尺度2-3倍及以上时,磁性目标在观测点产生的磁场一般被看作磁偶极子远场。The magnetic field generated by a magnetic target will lead to changes in the distribution of the geomagnetic field in space, which can produce magnetic anomalies. When the distance between the observation point and the target is 2-3 times greater than the target scale, the magnetic field generated by the magnetic target at the observation point is generally regarded as the magnetic dipole far field.
对磁性目标定位时,可采用能够测量地磁三分量的矢量磁传感器或者能够测量地磁总场的标量磁传感器。矢量磁传感器安装和使用相对复杂,初始姿态要严格校正,工作姿态要实时测量。矢量磁传感器的角度误差为0.05°时,测量的地磁误差大概为50nT。因此,实时补偿矢量磁传感器姿态变化对测量的影响是必需的,也是有一定难度的。一般情况下,市场上常见的矢量磁传感器(如普通磁通门磁力仪)分辨率相对偏低(相对于标量光泵磁力仪),因此基于矢量测量的目标定位距离不能太长,目标磁矩不能太小。When locating a magnetic target, a vector magnetic sensor capable of measuring the three components of geomagnetism or a scalar magnetic sensor capable of measuring the total geomagnetic field can be used. The installation and use of the vector magnetic sensor is relatively complicated, the initial attitude must be strictly calibrated, and the working attitude must be measured in real time. When the angle error of the vector magnetic sensor is 0.05°, the measured geomagnetic error is about 50nT. Therefore, it is necessary and difficult to compensate the influence of the attitude change of the vector magnetic sensor on the measurement in real time. In general, the resolution of common vector magnetic sensors (such as ordinary fluxgate magnetometers) on the market is relatively low (compared to scalar optical pump magnetometers), so the target positioning distance based on vector measurement cannot be too long, and the target magnetic moment Can't be too small.
本发明所涉及的是一种采用地磁总场梯度阵列对磁性目标定位的方法。采用的标量磁传感器(光泵磁力仪)分辨率相对较高,可以对弱磁目标定位,定位距离远、范围大。通过专门的算法设计,可以快速求解定位方程。测量时只要避开光泵磁力仪死区方向,无需实时测量和补偿每个传感器姿态,简便快速。这在能源矿藏勘测、地下及水下管线监测维护、考古、坠机沉船搜救、扫雷反潜等方面有一定的应用意义。The invention relates to a method for locating a magnetic target by using a geomagnetic total field gradient array. The scalar magnetic sensor (optical pump magnetometer) adopted has a relatively high resolution and can locate weak magnetic targets with a long positioning distance and a large range. Through the special algorithm design, the positioning equation can be solved quickly. Just avoid the direction of the dead zone of the optical pump magnetometer during measurement, and there is no need to measure and compensate each sensor attitude in real time, which is simple and fast. This has certain application significance in energy and mineral exploration, underground and underwater pipeline monitoring and maintenance, archaeology, search and rescue of plane crashes and shipwrecks, mine clearance and anti-submarine, etc.
本发明的目的在于对磁性目标进行准确快速简便的追踪和定位。首先构建由七个标量磁传感器(光泵磁力仪)组成的传感器阵列,然后基于磁偶极子远场模型,建立地磁总场梯度与磁性目标位置坐标和磁矩矢量的关系。采用矩阵变换,把求解参数消元缩减到三个。建立适应度函数,采用粒子群算法对磁性目标定位。The purpose of the present invention is to track and locate the magnetic target accurately, quickly and easily. First, a sensor array composed of seven scalar magnetic sensors (optical pump magnetometers) is constructed, and then based on the magnetic dipole far-field model, the relationship between the total geomagnetic field gradient and the magnetic target position coordinates and magnetic moment vector is established. Using matrix transformation, the solution parameter elimination is reduced to three. The fitness function is established, and the particle swarm algorithm is used to locate the magnetic target.
本发明的技术方案是通过以下步骤实现的:Technical scheme of the present invention is realized through the following steps:
步骤一:用七个标量磁传感器Ti(i=0,1,2......6)构建如附图1所示的磁探阵列。阵列坐标系的原点为o,x轴正向指向地理北极,y轴正向指东,z轴正向向下,为右手螺旋系。阵列中各磁传感器的直角坐标为T0(0,0,0), 每一坐标轴上两个远端传感器相距为L,为防止传感器间相互干扰,L≥1m。Step 1: Use seven scalar magnetic sensors T i (i=0, 1, 2...6) to build a magnetic detector array as shown in Fig. 1 . The origin of the array coordinate system is o, the positive direction of the x-axis points to the geographic North Pole, the positive direction of the y-axis points to the east, and the positive direction of the z-axis is a right-handed spiral system. The Cartesian coordinates of each magnetic sensor in the array are T 0 (0,0,0), The distance between the two remote sensors on each coordinate axis is L. In order to prevent mutual interference between the sensors, L≥1m.
步骤二:各台磁传感器同步测量,每个测量值Ti都是地磁正常场BE和目标异常场Bi相叠加的总场模,即Ti=|BE+Bi|。令BE的模为BE,BE是随时间变化的,这种变化在局部空间内,可认为是同步等幅的。令U为BE的方向向量,I0和D0为地磁倾角和偏角,再令 a=cos(I0)cos(D0),b=cos(I0)sin(D0),c=sin(I0),Step 2: Each magnetic sensor measures synchronously, and each measured value T i is the total field modulus of the superposition of the normal geomagnetic field B E and the target abnormal field B i , that is, T i =|B E +B i |. Let the modulus of B E be B E , B E changes with time, and this change can be considered as synchronous and equal amplitude in the local space. Let U be the direction vector of B E , I 0 and D 0 be the geomagnetic inclination and declination, then let a=cos(I 0 )cos(D 0 ), b=cos(I 0 )sin(D 0 ), c =sin(I 0 ),
得U=[cos(I0)cos(D0)cos(I0)sin(D0)sin(I0)]=[a b c]。Bix、Biy、Biz是Bi的直角坐标分量,Bi为Bi的模。目标的最大几何尺度为LA,观测点与目标的距离为r。远场条件可以表述为3LA≤r、L<<r、Bi<<BE等。因此U=[cos(I 0 )cos(D 0 )cos(I 0 )sin(D 0 )sin(I 0 )]=[abc]. B ix , B iy , B iz are the Cartesian coordinate components of Bi, and Bi is the modulus of Bi . The maximum geometric scale of the target is L A , and the distance between the observation point and the target is r. The far-field conditions can be expressed as 3LA ≤r, L<<r, B i <<B E and so on. therefore
Ti=|BE+Bi|≈BE+U·Bi (1)T i =|B E +B i |≈B E +U·B i (1)
以磁偶极子远场模型表示磁性目标在传感器i处产生的磁场Bi:The magnetic field B i generated by a magnetic target at sensor i is represented by a magnetic dipole far-field model:
式(2)中:μ0=4π×10-7H/m为真空中的磁导率。令(xA,yA,zA)为目标位置,(xi,yi,zi)是传感器i位置,Mx、My、Mz是目标磁矩矢量M的直角坐标分量,令 令再另由(1)和(2)式得In formula (2): μ 0 =4π×10 -7 H/m is the magnetic permeability in vacuum. Let (x A , y A , z A ) be the target position, ( xi , y i , z i ) be the position of sensor i, M x , M y , M z are the Cartesian coordinate components of the target magnetic moment vector M, make make another From (1) and (2) formula
Ti=BE+ω·UPiM (3)T i =B E +ω·UP i M (3)
Qi=a·fi 11+b·fi 21+c·fi 31,Si=a·fi 12+b·fi 22+c·fi 32,Hi=a·fi 13+b·fi 23+c·fi 33。Q i =a·f i 11 +b·f i 21 +c·f i 31 , S i =a·f i 12 +b·f i 22 +c·f i 32 ,H i =a·f i 13 +b·f i 23 +c·f i 33 .
式(3)可改写为:Ti=BE+ω(QiMx+SiMy+HiMz) (4)Formula (3) can be rewritten as: T i =B E +ω(Q i M x +S i M y +H i M z ) (4)
步骤三:在七个传感器中,选出三组传感器,每组由两个磁传感器i和j组成,i、j=0,1,2......6。每组传感器测量值的差值ΔTij=Ti-Tj。选择原则是保证ΔTij、ΔT12、ΔT34、ΔT56这六个差值线性无关。根据(3)式,举例选择如下三组差值:Step 3: Select three groups of sensors from the seven sensors, each group consists of two magnetic sensors i and j, i, j=0, 1, 2...6. The difference ΔT ij =T i -T j of the measured values of each group of sensors. The selection principle is to ensure that the six differences of ΔT ij , ΔT 12 , ΔT 34 , and ΔT 56 are linearly independent. According to formula (3), select the following three sets of differences for example:
可见,ΔTij中消除了地磁正常场BE,BE是时间的函数,所以ΔTij不受地磁场随时间变化的影响。变换(5)式,把磁矩分量用磁性目标的位置坐标表示为:It can be seen that the geomagnetic normal field B E is eliminated in ΔT ij , and B E is a function of time, so ΔT ij is not affected by the change of the geomagnetic field with time. Transform (5), and express the magnetic moment component by the position coordinates of the magnetic target as:
在传感器i处,地磁总场测量值Ti的梯度Gi按(7)式定义,其中Gix、Giy、Giz是Gi的直角坐标分量,i=0,1,2......6。At the sensor i, the gradient G i of the total geomagnetic field measurement value T i is defined according to formula (7), where G ix , G iy , and G iz are the Cartesian coordinate components of G i , i=0,1,2... ...6.
将(4)式代入(7)式:将(6)式代入(8)式:Substitute (4) into (7): Substitute formula (6) into formula (8):
根据(9)式,原点o的地磁总场梯度值G0为:According to formula (9), the total geomagnetic field gradient value G 0 at the origin o is:
步骤四:当L<<r的远场情况下,各传感器同步测量得到ΔT12、ΔT34、ΔT56。可得原点地磁总场梯度测量值其中是的直角坐标分量。Step 4: In the far-field situation where L<<r, each sensor measures synchronously to obtain ΔT 12 , ΔT 34 , and ΔT 56 . The measured value of the total geomagnetic field gradient at the origin can be obtained in Yes The Cartesian coordinate components of .
联立(10)和(11)两式,显然 Simultaneously (10) and (11) two formulas, obviously
矢量方程(12)式是以目标位置(xA,yA,zA)为未知数的高阶三元方程组,含有三个标量方程,约束条件完备,在三维空间内有定解,解的个数有限,根据实际情况可消除部分伪解。建立粒子群算法求解必需的适应度函数F的表达式为:The vector equation (12) is a high-order ternary equation system whose target position (x A , y A , z A ) is unknown, it contains three scalar equations, the constraints are complete, and there is a definite solution in the three-dimensional space. The number is limited, and some false solutions can be eliminated according to the actual situation. The expression of the fitness function F necessary to establish the particle swarm algorithm solution is:
采用粒子群算法求解适应度函数F的最小值,实现对目标定位。进而代入(6)式求解目标磁矩,可对目标进行初步识别。The particle swarm algorithm is used to solve the minimum value of the fitness function F to realize the target positioning. Then substituting (6) to solve the target magnetic moment, the target can be initially identified.
图1地磁总场梯度测量阵列结构图Figure 1 Structure diagram of the geomagnetic total field gradient measurement array
图2传感器测量差值ΔT20与目标位置xA的关系曲线Figure 2 The relationship curve between sensor measurement difference ΔT 20 and target position x A
图3传感器测量差值ΔT40与目标位置xA的关系曲线Figure 3 The relationship curve between sensor measurement difference ΔT 40 and target position x A
图4传感器测量差值ΔT60与目标位置xA的关系曲线Figure 4 The relationship curve between sensor measurement difference ΔT 60 and target position x A
图5运动目标的磁法定位结果Figure 5 Magnetic positioning results of moving targets
在哈尔滨市松花江沿岸某郊区开展目标定位实验,测量环境磁场数据,以实验过程对本发明实施方式举例说明。A target positioning experiment was carried out in a suburb along the Songhua River in Harbin City, and environmental magnetic field data was measured, and the embodiment of the present invention was illustrated with the experimental process.
用CS-L光泵磁传感器构建如图1所示的地磁总场梯度测量阵列,传感器分辨率0.6pT,最高采样率10Hz,测量范围15000nT-105000nT。阵列参数L=1m,阵列所在坐标系x轴正向指向地理北极,y轴正向指东,z轴正向向下。当地地磁倾角1.10rad,地磁偏角-0.18rad。磁目标(永久磁铁)磁矩大小为152Am2,磁矩倾角1.13rad,磁矩偏角为-0.18rad,目标几何尺度143mm×120mm×40mm。目标运动过程中磁矩方向保持不变。目标初始位置(3.4m,4.21m, 0m),沿平行于x轴方向做直线运动,终止位置(-2.1m,4.21m,0m)。The CS-L optical pump magnetic sensor is used to construct the geomagnetic total field gradient measurement array shown in Figure 1. The sensor resolution is 0.6pT, the highest sampling rate is 10Hz, and the measurement range is 15000nT-105000nT. The array parameter L=1m, the positive direction of the x-axis of the coordinate system where the array is located points to the geographic North Pole, the positive direction of the y-axis points to the east, and the positive direction of the z-axis points downward. The local geomagnetic inclination is 1.10rad, and the geomagnetic declination is -0.18rad. The magnetic moment of the magnetic target (permanent magnet) is 152Am 2 , the inclination angle of the magnetic moment is 1.13rad, the declination angle of the magnetic moment is -0.18rad, and the geometric dimension of the target is 143mm×120mm×40mm. The direction of the magnetic moment remains unchanged during the target movement. The initial position of the target (3.4m, 4.21m, 0m), make a linear motion along the direction parallel to the x-axis, and the end position (-2.1m, 4.21m, 0m).
目标在运动过程中,阵列各传感器同步测量地磁总场,传感器采样率选择5Hz,计算原点传感器分别与三个坐标轴负半轴上传感器的测量值之差ΔT20,ΔT40,ΔT60。三个差值随目标位置xA的变化分别如图2、图3、图4所示。其中蓝色虚线表示磁法理论差值,经由公式 (5)计算得到。红色圆圈点表示经传感器实际测量得到的差值。可见理论曲线与实际测量点基本吻合。During the movement of the target, each sensor of the array measures the total geomagnetic field synchronously. The sampling rate of the sensor is selected as 5Hz, and the difference between the measured values of the sensor at the origin and the sensor on the negative half axis of the three coordinate axes is calculated ΔT 20 , ΔT 40 , and ΔT 60 . The changes of the three differences with the target position x A are shown in Fig. 2, Fig. 3 and Fig. 4 respectively. The blue dotted line represents the theoretical difference of the magnetic method, which is calculated by formula (5). The red circle point represents the difference value actually measured by the sensor. It can be seen that the theoretical curve basically coincides with the actual measurement point.
当目标运动至某一位置(xA,yA,zA),根据传感器同步输出数据计算出ΔT20、ΔT40、ΔT60、ΔT12、ΔT34、ΔT56。分别代入式(10)和(11),得到G0x、G0y、G0z的表达式以及 的值。将G0x、G0y、G0z代入公式(13),得到含有目标位置(xA,yA,zA) 的适应度函数F。采用Matlab粒子群工具箱,求适应度函数F的最小值,解出磁性目标位置 (xA,yA,zA),实现目标定位。When the target moves to a certain position (x A , y A , z A ), ΔT 20 , ΔT 40 , ΔT 60 , ΔT 12 , ΔT 34 , ΔT 56 are calculated according to the synchronous output data of the sensor. Substituting into formulas (10) and (11) respectively, the expressions of G 0x , G 0y , G 0z and value. Will Substituting G 0x , G 0y , and G 0z into formula (13), the fitness function F containing the target position (x A , y A , z A ) is obtained. Using the Matlab particle swarm toolbox, the minimum value of the fitness function F is obtained, and the magnetic target position (x A , y A , z A ) is solved to realize the target positioning.
图5是该方法对运动目标定位的实验结果。蓝色圆圈点是目标实际位置,红色圆圈点是磁法定位位置。从起点(3.4m,4.21m,0m)至终点(-2.1m,4.21m,0m)直线运动过程中,目标位置xA从2.4m至-2.1m,每间隔0.5m进行一次磁法定位,共计10次。定位结果表明:该方法对大小为143mm×120mm×40mm、磁矩为152Am2的磁性运动目标,在4.21m的垂向距离上对目标定位的水平圆概率偏差CEP等于0.287m,定位方法可行。Fig. 5 is the experimental result of this method for moving target localization. The blue circle point is the actual position of the target, and the red circle point is the magnetic positioning position. During the linear movement from the starting point (3.4m, 4.21m, 0m) to the end point (-2.1m, 4.21m, 0m), the target position x A is from 2.4m to -2.1m, and magnetic positioning is performed every 0.5m. A total of 10 times. The positioning results show that the horizontal circular probability deviation CEP of the target positioning is equal to 0.287m at a vertical distance of 4.21m for a magnetic moving target with a size of 143mm×120mm×40mm and a magnetic moment of 152Am 2 , and the positioning method is feasible.
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810574970.0A CN108873086B (en) | 2018-06-05 | 2018-06-05 | A method for locating magnetic targets using the total geomagnetic field gradient array |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810574970.0A CN108873086B (en) | 2018-06-05 | 2018-06-05 | A method for locating magnetic targets using the total geomagnetic field gradient array |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108873086A CN108873086A (en) | 2018-11-23 |
CN108873086B true CN108873086B (en) | 2019-09-27 |
Family
ID=64337140
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810574970.0A Active CN108873086B (en) | 2018-06-05 | 2018-06-05 | A method for locating magnetic targets using the total geomagnetic field gradient array |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108873086B (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110361683B (en) * | 2019-07-17 | 2021-06-18 | 哈尔滨工程大学 | Magnetometer calibration method based on particle swarm optimization with dual objective functions |
CN110824570B (en) * | 2019-10-28 | 2021-07-27 | 杭州电子科技大学 | A body magnetic calibration method for a three-axis magnetic sensor |
CN110967766A (en) * | 2019-11-25 | 2020-04-07 | 中国科学院电子学研究所 | A Positioning and Tracking System for Mobile Magnetic Dipole Target |
CN111399066B (en) * | 2020-04-03 | 2022-05-17 | 西北工业大学青岛研究院 | A Method for Processing Scalar Magnetic Anomaly Gradient Signals Based on Orthogonal Basis Functions |
CN111913227B (en) * | 2020-08-11 | 2023-03-28 | 哈尔滨工程大学 | Method and system for calculating frequency characteristics of magnetic anomaly signals |
CN112050799B (en) * | 2020-08-19 | 2022-11-18 | 哈尔滨工程大学 | A Distance Measurement and Positioning Method Based on the Ratio of Magnetic Gradient Tensor Condensation |
CN112050800B (en) * | 2020-08-19 | 2022-11-18 | 哈尔滨工程大学 | A Magnetic Gradient Tensor Positioning Method Based on Symmetrically Arranged Planar Array of Japanese-shaped Three-axis Magnetometers |
CN114355456B (en) * | 2021-06-22 | 2025-01-14 | 宛冠宇 | A composite target detection method |
CN113985494A (en) * | 2021-10-13 | 2022-01-28 | 哈尔滨工程大学 | Method for compensating error of electronic compass in ocean seismometer based on unscented Kalman algorithm |
CN114440870B (en) * | 2021-12-29 | 2023-06-27 | 宜昌测试技术研究所 | Nine-axis magnetic compass gesture acquisition method based on self-adaptive complementary filtering |
CN114371432A (en) * | 2022-01-10 | 2022-04-19 | 北京大学 | Magnetic sensor array for identifying ferromagnetic objects and method for identifying ferromagnetic objects |
CN116975991B (en) * | 2022-04-24 | 2024-04-26 | 中国人民解放军海军工程大学 | A three-dimensional optimal inversion positioning method for magnetic targets based on particle swarm optimization |
CN115032704A (en) * | 2022-05-24 | 2022-09-09 | 青岛农业大学 | Magnetic anomaly detection method, system, medium, equipment and terminal |
CN115096294B (en) * | 2022-05-30 | 2024-05-14 | 吉林大学 | Multi-parameter underwater magnetic target positioning method |
CN115236746B (en) * | 2022-06-02 | 2024-10-22 | 吉林大学 | A submersible-mounted underwater multi-parameter magnetic measurement system and magnetic positioning method |
CN115391721B (en) * | 2022-10-26 | 2023-01-17 | 广东大湾区空天信息研究院 | Magnetic moment calculation method and device based on magnetic total field vertical gradient and related equipment |
CN115793075A (en) * | 2022-11-03 | 2023-03-14 | 自然资源部第二海洋研究所 | A near-bottom precision detection device and fine calibration method for high-resolution ocean magnetism |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS62167405A (en) * | 1985-12-19 | 1987-07-23 | Shimadzu Corp | Instrument for measuring magnetism of navigating body |
US5357437A (en) * | 1992-07-01 | 1994-10-18 | Westinghouse Electric Corporation | Magnetic marker position fixing system for underwater vehicles |
US5777477A (en) * | 1996-06-03 | 1998-07-07 | The United States Of America As Represented By The Secretary Of The Navy | Method of magnetic source localization using gradient tensor components and rate tensor components |
CN104535062B (en) * | 2015-01-20 | 2017-09-15 | 中国人民解放军国防科学技术大学 | Campaign-styled localization method based on magnetic gradient tensor sum earth magnetism vector measurement |
CN105091880B (en) * | 2015-07-17 | 2017-11-21 | 哈尔滨工程大学 | A kind of method of tracing and positioning based on scalar sensors array remote magnetic target under water |
CN105783919B (en) * | 2016-03-09 | 2019-02-26 | 哈尔滨工程大学 | Tracking and positioning method of magnetic target with H-type scalar sensor array |
CN107044854B (en) * | 2016-11-29 | 2020-12-22 | 哈尔滨工程大学 | A method for locating long-distance magnetic targets based on scalar magnetometer array |
CN107272069B (en) * | 2017-06-13 | 2019-02-26 | 哈尔滨工程大学 | Magnetic target tracking method based on magnetic anomalous gradient |
CN107817457B (en) * | 2017-10-13 | 2020-03-17 | 北京工业大学 | Design method of geomagnetic gradient tensor measurement array |
-
2018
- 2018-06-05 CN CN201810574970.0A patent/CN108873086B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN108873086A (en) | 2018-11-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108873086B (en) | A method for locating magnetic targets using the total geomagnetic field gradient array | |
CN110007350B (en) | Analysis method for magnetic detection method blind area | |
Storms et al. | Magnetic field navigation in an indoor environment | |
CN107272069B (en) | Magnetic target tracking method based on magnetic anomalous gradient | |
CN105783919B (en) | Tracking and positioning method of magnetic target with H-type scalar sensor array | |
CN102445201B (en) | Underwater carrier geomagnetic anomaly feature points matching navigation method | |
CN105091880B (en) | A kind of method of tracing and positioning based on scalar sensors array remote magnetic target under water | |
CN106546235B (en) | A Magnetic Target Location Method Based on Carrier Compensation | |
CN107044854B (en) | A method for locating long-distance magnetic targets based on scalar magnetometer array | |
Han et al. | A mismatch diagnostic method for TERCOM-based underwater gravity-aided navigation | |
CN111399066B (en) | A Method for Processing Scalar Magnetic Anomaly Gradient Signals Based on Orthogonal Basis Functions | |
CN109520486A (en) | A kind of deviation of plumb line real-time computing technique based on horizontal tensor gravity gradient | |
CN111239838B (en) | Detection method for magnetic detection precision | |
CN109725361A (en) | A Magnetic Target Localization Method Based on Magnetic Gradient Tensor Invariant | |
CN109633540B (en) | A real-time positioning system and real-time positioning method of a magnetic source | |
Wiegert | Magnetic STAR technology for real-time localization and classification of unexploded ordnance and buried mines | |
CN109633541B (en) | A magnetic source positioning device and a magnetic source positioning method | |
Zheng et al. | Magnetic-based positioning system for moving target with feature vector | |
Xu et al. | Simulation Analysis of Magnetic Gradient Full‐Tensor Measurement System | |
Kang et al. | Smartphone indoor positioning system based on geomagnetic field | |
CN109633539B (en) | Static positioning device and static positioning method for magnetic source | |
Ma et al. | Key technologies of geomagnetic aided inertial navigation system | |
Lin et al. | A new correction method of distributed magnetic sensor system based on magnetic shielding room | |
CN108827284A (en) | A kind of pair of method for moving double locating magnetic objects | |
CN115096294A (en) | Multi-parameter underwater magnetic target body positioning method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |