基于参考台的盲源分离法在抑制地磁场近场噪音中的应用研究

周媛媛, 常莹, 陈浩, 周勇, 马永辉, 谢成良, 何展翔, 服部克巳, 韩鹏. 2019. 基于参考台的盲源分离法在抑制地磁场近场噪音中的应用研究. 地球物理学报, 62(2): 572-586, doi: 10.6038/cjg2019M0551
引用本文: 周媛媛, 常莹, 陈浩, 周勇, 马永辉, 谢成良, 何展翔, 服部克巳, 韩鹏. 2019. 基于参考台的盲源分离法在抑制地磁场近场噪音中的应用研究. 地球物理学报, 62(2): 572-586, doi: 10.6038/cjg2019M0551
ZHOU YuanYuan, CHANG Ying, CHEN Hao, ZHOU Yong, MA YongHui, XIE ChengLiang, HE ZhanXiang, HATTORI Katsumi, HAN Peng. 2019. Application of reference-based blind source separation method in the reduction of near-field noise of geomagnetic measurements. Chinese Journal of Geophysics (in Chinese), 62(2): 572-586, doi: 10.6038/cjg2019M0551
Citation: ZHOU YuanYuan, CHANG Ying, CHEN Hao, ZHOU Yong, MA YongHui, XIE ChengLiang, HE ZhanXiang, HATTORI Katsumi, HAN Peng. 2019. Application of reference-based blind source separation method in the reduction of near-field noise of geomagnetic measurements. Chinese Journal of Geophysics (in Chinese), 62(2): 572-586, doi: 10.6038/cjg2019M0551

基于参考台的盲源分离法在抑制地磁场近场噪音中的应用研究

  • 基金项目:

    深圳市科技计划项目(JCYJ20160505175406823)和国家自然科学基金(41661134014,41804044)联合资助

详细信息
    作者简介:

    周媛媛, 女, 1986年生, 南方科技大学, 科研助理, 主要从事信号处理与数据分析研究.E-mail:yuanyuan.zhou@hotmail.com

    通讯作者: 韩鹏, 男, 1985年生, 南方科技大学地球与空间科学系助理教授, 主要从事地震活动性分析, 地震概率预测, 及地震电磁学研究.E-mail:hanp@sustc.edu.cn
  • 中图分类号: P318

Application of reference-based blind source separation method in the reduction of near-field noise of geomagnetic measurements

More Information
  • 随着城市建设的不断发展,地磁场观测受到的人文干扰越来越严重.汽车、地铁、高铁等产生的近场噪音造成了地磁脉动等空间场源信号难以被精确观测,严重影响了地磁观测资料的实际使用价值.因此抑制这些近场噪音、提取空间场源信号具有科学意义和应用价值.本研究将远场参考法和盲源信号分离法相结合,提出了一种能有效分离空间场源信号和近场噪音的方法.首先,基于仿真分析,我们准确分离了不同特征的源信号,阐明了此方法的有效性.然后,我们将该方法应用于日本千叶地区受电车干扰较为严重的实际磁场观测数据,并选用数据质量较高的KAK国际基准台作为远场参考,实现了地磁脉动和电车干扰信号的分离,并在此基础上对观测台站的近场噪音进行了抑制.这些结果表明基于参考台的盲源信号分离法在抑制近场噪音、提取地磁场信号中是有效的,可能在电磁法勘探中具有潜在的应用价值.

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  • 图 1 

    仿真源信号

    Figure 1. 

    Simulated source signals

    图 2 

    混合信号X1

    Figure 2. 

    Two samples of X1 with mixed sources

    图 3 

    分离信号Y1

    Figure 3. 

    Separated signals in Y1

    图 4 

    混合信号X2

    Figure 4. 

    Two samples of X2 with mixed sources

    图 5 

    分离信号Y2

    Figure 5. 

    Separated signals in Y2

    图 6 

    混合信号与重构信号对比图

    Figure 6. 

    Comparison of mixed signal and reconstructed signal

    图 7 

    地磁台站及电车轨道分布图

    Figure 7. 

    Spatial distribution of geomagnetic stations and railway path

    图 8 

    地磁场观测数据

    Figure 8. 

    Observed geomagnetic data at (a) KYS, (b) FDG, (c) UCU, and (d) KAK stations

    图 9 

    分离信号

    Figure 9. 

    Separated signals

    图 10 

    各重构观测信号中每一种独立源的能量贡献

    Figure 10. 

    Energy contribution of each independent source in reconstructed signals

    图 11 

    观测数据去噪前后对比,及各台站近场噪音

    Figure 11. 

    Comparison of original and denoised data, and estimated near-field noises at each station

    图 12 

    实测数据去噪前后频谱对比

    Figure 12. 

    Spectrum of observed data (black) and denoised data (red)

    图 13 

    KYS、FDG、UCU观测台与参考台KAK去噪前后频谱对比

    Figure 13. 

    Comparison of spectrum at each station before and after denoising

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出版历程
收稿日期:  2018-09-09
修回日期:  2018-11-01
上线日期:  2019-02-15

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