基于磁传感器阵列的多磁源参数反演方法
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TH762

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国家自然科学基金(51305454)项目资助


Multimagnetic source parameter inversion method based on magnetic sensor array
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    摘要:

    针对传统磁源参数反演方法中存在受噪声影响大、对多个磁源参数反演能力差的问题,提出了基于磁传感器阵列的多磁源参数反演方法。首先,将磁传感器阵列测量得到的磁张量数据转化为归一化磁源强度并向上延拓,降低归一化磁源强度数据中高频噪声的影响。然后,利用基于归一化磁源强度的改进倾斜角对磁源的水平位置进行估计,其中计算区域内正极值的极大值点为磁源的水平位置。最后,根据归一化磁源强度的欧拉同性质方程,提出改进的磁源深度估计方法,实现了对磁源的深度和磁矩进行单点估计。仿真和实验结果表明,与Nara反演方法相比,本文方法不受地磁背景磁场的影响,对多磁铁识别的水平误差不大于008 m,深度相对误差不大于2476%,且具有较强的抗噪性。

    Abstract:

    Aiming at the problems that great noise effect exists and the inversion ability for multiple magnetic source parameters is poor in traditional magnetic source parameter inversion method, a multimagnetic source parameter inversion method based on magnetic sensor array is proposed. Firstly, the magnetic tensor data measured using the magnetic sensor array are converted into the normalized magnetic source strength (NSS), and the upward continuation of NSS is conducted to reduce the effect of the high frequency noise in the normalized magnetic source strength data. Then, the horizontal position of the magnetic source is estimated using an improved tilt angle based on the normalized magnetic source strength, wherein the maximum value of the positive extremum values in the calculation region is the horizontal position of the magnetic source. Finally, according to the Euler homogeneity equation of normalized magnetic source strength, an improved magnetic source depth estimation method is proposed to realize the single point estimation of magnetic source depth and magnetic moment. The simulation and experiment results show that the proposed method is not affected by the geomagnetic background magnetic field compared with the Nara inversion method. The horizontal location error of multitarget magnetic sources is not greater than 008 m, the depth relative error is not greater than 2476%, and this method also has a strong antinoise ability.

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李金朋,张英堂,范红波,李志宁,姜相争.基于磁传感器阵列的多磁源参数反演方法[J].仪器仪表学报,2019,40(10):28-37

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  • 在线发布日期: 2022-03-09
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