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基于两点磁梯度张量的磁性目标在线定位方法
引用本文:刘继昊,李夕海,曾小牛.基于两点磁梯度张量的磁性目标在线定位方法[J].地球物理学报,2017,60(10):3995-4004.
作者姓名:刘继昊  李夕海  曾小牛
作者单位:火箭军工程大学, 西安 710025
摘    要:利用磁梯度张量反演磁性目标参数的方法广泛应用于是磁性目标定位,本文提出了一种通过测量两点磁梯度张量对磁性目标进行在线定位的方法.首先利用磁矩指向相同的原则从张量方程的解中得到目标方向,其次利用参数之间的线性关系解算出目标距离,最后利用两点磁感应强度之差,结合Levenberg-Marquardt优化算法对距离做进一步修正.基于所设计的两点张量测量阵列的仿真实验表明:(1)在相同条件下,本文方法定位成功率为64.24%,而2015年吕俊伟改进的STAR方法为59.85%;(2)仪器测量噪声强度达到某一阈值时,一定区域内定位成功率随噪声强度的增加迅速下降;(3)优化算法迭代次数上限取10次即可;(4)其他条件不变时,随着基线长度的增加,定位成功率先升高后降低.

关 键 词:磁梯度张量  磁性目标  定位  优化算法  
收稿时间:2016-08-04

Online magnetic target location method based on the magnetic gradient tensor of two points
LIU Ji-Hao,LI Xi-Hai,ZENG Xiao-Niu.Online magnetic target location method based on the magnetic gradient tensor of two points[J].Chinese Journal of Geophysics,2017,60(10):3995-4004.
Authors:LIU Ji-Hao  LI Xi-Hai  ZENG Xiao-Niu
Institution:Rocket Force University of Engineering, Xi'an 710025, China
Abstract:The gradient tensor has been widely used in the inversion of magnetic target parameters. A new online location method by measuring the magnetic gradient tensor of two points is presented in this paper. Firstly, the target direction is obtained from solving tensor equations. Secondly, the target distance is calculated by using the linear relationship among the parameters. Finally, the magnetic induction intensity difference between two points and the Levenberg-Marquardt optimization algorithm are used together to modify the distance. The results of the simulation based on the designed tensor measurement array show that:(1) In the same conditions, the location success rate of the promoted method is 64.24% and the STAR method improved by Lü Junwei in 2015 is 59.85%. (2) When the instrument noise intensity reaches a certain threshold and increases, the regional location success rate decreases rapidly. (3) The best upper limit of optimization algorithm iteration times is 10. And (4) there is an optimum baseline length corresponds to the highest success rate.
Keywords:Magnetic gradient tensor  Magnetic target  Location  Optimization algorithm
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