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    利用信噪分离方法提高大地电磁张量阻抗估算质量

    崔金岭 邓明 景建恩 张启升 陈凯 王猛

    崔金岭, 邓明, 景建恩, 张启升, 陈凯, 王猛, 2014. 利用信噪分离方法提高大地电磁张量阻抗估算质量. 地球科学, 39(4): 492-498. doi: 10.3799/dqkx.2014.047
    引用本文: 崔金岭, 邓明, 景建恩, 张启升, 陈凯, 王猛, 2014. 利用信噪分离方法提高大地电磁张量阻抗估算质量. 地球科学, 39(4): 492-498. doi: 10.3799/dqkx.2014.047
    Cui Jinling, Deng Ming, Jing Jian'en, Zhang Qisheng, Chen Kai, Wang Meng, 2014. A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement. Earth Science, 39(4): 492-498. doi: 10.3799/dqkx.2014.047
    Citation: Cui Jinling, Deng Ming, Jing Jian'en, Zhang Qisheng, Chen Kai, Wang Meng, 2014. A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement. Earth Science, 39(4): 492-498. doi: 10.3799/dqkx.2014.047

    利用信噪分离方法提高大地电磁张量阻抗估算质量

    doi: 10.3799/dqkx.2014.047
    基金项目: 

    国家专项“深部探测技术与实验研究” SinoProbe-01

    国家专项“深部探测技术与实验研究” 201011035

    国家科技部“863”计划课题 2012AA09A201

    中央高校基本科研业务费专项资金 2011YYL106

    详细信息
      作者简介:

      崔金岭(1985-),男,在读博士研究生,主要从事地球物理仪器研制与大地电磁数据处理工作.E-mail: tsjinling@gmail.com

      通讯作者:

      邓明,E-mail: dengming@cugb.edu.cn

    • 中图分类号: P631

    A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement

    • 摘要: 在强噪声环境下,由于相关噪声的影响,准确地估算大地电磁张量阻抗越来越困难.研究一种处理相关噪声问题的信噪分离方法,即采用最小二乘Robust方法,利用相关噪声相对较小的远参考站磁场信号求取分离张量,将本地磁场的观测信号分离为MT信号和噪声,估算大地电磁张量阻抗.分别对模拟数据与实测数据进行处理, 结果表明,信噪分离方法能够分离出较强的相关噪声,给出的视电阻率和相位曲线比最小二乘Robust方法和远参考方法获得的更加平滑,处理效果明显.研究表明,在处理受相关噪声影响的MT数据中,信噪分离方法具有明显的优势.

       

    • 图  1  信噪分离方法总体流程

      Fig.  1.  Flow chart for the basic steps used to compute impedance tensor

      图  2  原始时间序列的视电阻率和相位曲线

      a.Robust方法;b.信噪分离方法

      Fig.  2.  Apparent resistivity and phase estimates of original time series

      图  3  噪声占10%的时间序列的视电阻率和相位曲线

      a.Robust;b.信噪分离方法

      Fig.  3.  Apparent resistivity and phase estimates of time series (10% noise)

      图  4  噪声占20%的时间序列的视电阻率和相位曲线

      a.Robust方法;b.信噪分离方法

      Fig.  4.  Apparent resistivity and phase estimates of time series (20% noise)

      图  5  实例1中Robust (a)、远参考方法(c)和信噪分离方法(相关噪声(b)、MT信号(d))比较

      Fig.  5.  Comparison of the results obtained from robust least square(a), robust remote reference(c) and signal-noise separation method (correlated noise(b), MT signal(d)) respectively in the first example

      图  6  实例2中Robust方法(a)、远参考方法(b)和信噪分离方法(c)比较

      Fig.  6.  Comparison of the results obtained from robust least square (a), robust remote reference (b) and signal-noise separation method(c) respectively in the second example

      图  7  实例3中Robust方法(a)、远参考方法(b)和信噪分离方法(c)比较

      Fig.  7.  Comparison of the results obtained from robust least square (a), robust remote reference (b) and signal-noise separation method(c) respectively in the third example

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    出版历程
    • 收稿日期:  2013-08-25
    • 刊出日期:  2014-04-15

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