Source separation based on improved two-dimensional variational mode decomposition

Jin-peng LI; Guo-quan REN; Hong-bo FAN; Zhi-ning LI

doi:10.3788/OPE.20202805.1200

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Source separation based on improved two-dimensional variational mode decomposition

Information Sciences | 更新时间：2020-07-09

- Source separation based on improved two-dimensional variational mode decomposition
- Optics and Precision Engineering Vol. 28, Issue 5, Pages: 1200-1211(2020)
- 作者机构：
  
  陆军工程大学石家庄校区车辆与电气工程系，河北石家庄 050003
- 作者简介：
  
  REN Guo-quan,E-mail:rrrgggqqq@163.com
- 基金信息：
- DOI：10.3788/OPE.20202805.1200
  CLC： TP212.9;TH762
- Received：05 December 2019，
  
  Revised：07 March 2020，
  
  Accepted：07 March 2020，
  
  Published：25 May 2020
- 稿件说明：
移动端阅览
Jin-peng LI, Guo-quan REN, Hong-bo FAN, et al. Source separation based on improved two-dimensional variational mode decomposition[J]. Optics and precision engineering, 2020, 28(5): 1200-1211.
DOI：

Jin-peng LI, Guo-quan REN, Hong-bo FAN, et al. Source separation based on improved two-dimensional variational mode decomposition[J]. Optics and precision engineering, 2020, 28(5): 1200-1211. DOI： 10.3788/OPE.20202805.1200.

摘要

为了解决延拓法对不同深度磁源的磁测数据进行分离时，向上延拓高度确定困难以及延拓导致深源信号损失的缺点，提出了在延拓法的基础上利用二维变分模态分解对磁性目标进行分离。首先，利用最佳延拓高度估计法对磁测数据进行第一次分离，得到分离后的局部异常与区域异常数据；然后，利用二维变分模态分解对分离后的浅源局部异常进行第二次分离，该过程无需计算延拓高度，能够自动对不同频率的磁测数据进行分离；最后，利用该方法对不同深度磁源进行识别，通过将分离得到的磁异常

分量数据转化为磁梯度张量数据，实现了对不同深度磁源的磁梯度张量数据进行分离，获得对不同深度磁源的识别结果。实验结果表明：实测中对小尺度磁性体组合磁源(高度差为26 cm)的分离数据与单目标观测数据的互相关系数在0.966 4以上。相比传统的延拓分离方法，提出的方法的分离精度更高，抗干扰能力更强。

Abstract

Using the continuation method

it is difficult to determine the upward continuation height of the upward continuation and shortcomings of the deep source signal loss caused by continuation when the magnetic data of magnetic sources with different depths are separated. A separation method for magnetic data based on improved two-dimensional variational mode decomposition was proposed to solve the disadvantages associated with the continuation method. First

the magnetic data was separated for the first time using the best continuation height estimation method to obtain separated local and regional magnetic anomaly data.Subsequently

a two-dimensional variational modal decomposition was used to perform a second separation of the separated shallow local magnetic anomalies. The process did not need to calculate the upward continuation height and could automatically separate magnetic data at different frequencies.Finally

this method was used to identify magnetic sources with different depths. By separatingthe magnetic anomaly

component and converting it into magnetic gradient tensor data

the magnetic gradient tensor data for magnetic sources with different depths could be separated

and the identification of magnetic sources with different depths was obtained. The experimental results show that the correlation between the separation data of small-scale magnetic sources (26 cm height difference) and observation data for a single target in an actual measurement is greater than 0.966 4.Compared with the traditional continuation separation method

the proposed method has a higher separation accuracy and stronger anti-interference ability.

关键词

Keywords

references

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