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Suppression of motion noise based on a linear-homomorphic filtering algorithm in airborne electromagnetic survey

机译：基于机载电磁调查线性均匀滤波算法的运动噪声抑制

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摘要

The movement of the receiver coil in a magnetic field produces motion noise in the airborne electromagnetic field. With an amplitude that is several orders of magnitude higher than that of other noise sources, this motion noise is one of the main low-frequency (1 kHz) noise sources. Especially in the late decay period, the residual motion noise produces false anomalous information, which is a key problem of low-base-frequency airborne electromagnetic surveys. In this paper, a method for calculating the motion noise is proposed. This method takes into account both the earth's magnetic field and the active secondary magnetic field and introduces additive and multiplicative motion noise. Then, a linear-homomorphic filtering algorithm is proposed to handle the additive and multiplicative motion noises. In the linear filtering part of our algorithm, the minimum noise fraction transform is applied to suppress additive motion noise. It provides sets of components ordered by the signal-to-noise ratio by deriving the eigenvalues and eigenvectors for the signal and uncorrelated noise covariance matrices. In the homomorphic filtering part, the multiplicative motion noise is removed. To do this, the adaptive-width smoothing algorithm is applied to the logarithm of the filtered with the linear filtering process profile data. The results of synthetic and field data demonstrate that the linear filtering process based on the minimum noise fraction transform is effective for very low signal-to-noise ratios of the late-time data, and the homomorphic filtering process can help distinguish small anomalies of these channels.
机译：接收器线圈在磁场中的运动在空中电磁场中产生运动噪声。具有比其他噪声源的几个数量级的幅度，该运动噪声是主要的低频（＆ 1kHz）噪声源之一。特别是在晚期衰减期间，残余运动噪声产生假异常信息，这是低碱基频率空气传播电磁调查的关键问题。本文提出了一种计算运动噪声的方法。该方法考虑了地球的磁场和有源次级磁场，并引入了添加剂和乘法运动噪声。然后，提出了一种线性均匀滤波算法来处理添加剂和乘法运动噪声。在我们算法的线性滤波部分中，施加最小噪声分数变换以抑制加性运动噪声。它通过导出信号和不相关的噪声协方差矩阵的特征值和特征向量来提供由信噪比排序的组件组。在同型滤波部分中，去除乘法运动噪声。为此，自适应宽度平滑算法应用于具有线性滤波过程简档数据的滤波的对数。合成和现场数据的结果表明，基于最小噪声分数变换的线性滤波过程对后期数据的非常低信噪比有效，同型过滤过程可以有助于区分这些小异常渠道。

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  • 来源
    《Geophysical Prospecting》 |2021年第5期|1102-1115|共14页
  • 作者

    Zhu Kaiguang; Peng Cong; Jing Chunyang; Fan Tianjiao; Yang Yang;

  • 作者单位

    Jilin Univ Minist Educ Key Lab Geoexplorat Instrumentat Changchun 130000 Jilin Peoples R China|Jilin Univ Coll Instrumentat & Elect Engn Changchun 130000 Jilin Peoples R China;

    Jilin Univ Minist Educ Key Lab Geoexplorat Instrumentat Changchun 130000 Jilin Peoples R China|Jilin Univ Coll Instrumentat & Elect Engn Changchun 130000 Jilin Peoples R China;

    Jilin Univ Minist Educ Key Lab Geoexplorat Instrumentat Changchun 130000 Jilin Peoples R China|Jilin Univ Coll Instrumentat & Elect Engn Changchun 130000 Jilin Peoples R China;

    Jilin Univ Minist Educ Key Lab Geoexplorat Instrumentat Changchun 130000 Jilin Peoples R China|Jilin Univ Coll Instrumentat & Elect Engn Changchun 130000 Jilin Peoples R China;

    Jilin Univ Minist Educ Key Lab Geoexplorat Instrumentat Changchun 130000 Jilin Peoples R China|Jilin Univ Coll Instrumentat & Elect Engn Changchun 130000 Jilin Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Electromagnetics; Data processing; Noise;

    机译：电磁;数据处理;噪音;

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