Is It Redundant to Use Model-Based Subtraction Together With the Reference Noise Cancellation?

L. Liu, M. Griffiths, Meng Vang, D. Grombacher, J. Larsen
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Abstract

Summary Surface NMR is a competitive method in hydro-geophysical investigation due to its directive sensitivity to the water content, permeability and hydraulic conductivity of the aquifer. One of the main obstacles to expand its application in many area of interest is the low signal-to-noise ratio (SNR) of measurement. To improve the SNR by mitigating noise, numerous approaches has been proposed, for example remote reference noise cancellation (RNC) and model-based powerline harmonics subtraction (MB). In this abstract, the question whether MB should be applied before RNC is investigated. First, the theoretical length of Wiener filter (WF) in RNC is analysed by observing harmonics relationship between primary and reference channels. Then the benefits of applying MB before RNC is given within multiple noise sources are present. Last, the noise level of field measurements processed by RNC and MB followed by RNC are compared.
使用基于模型的减法和参考噪声消除是多余的吗?
地表核磁共振对含水层的含水率、渗透率和导电性具有直接敏感性,是水文地球物理研究中具有竞争力的方法。测量的低信噪比(SNR)是影响其在许多领域应用的主要障碍之一。为了通过降低噪声来提高信噪比,人们提出了许多方法,例如远程参考噪声消除(RNC)和基于模型的电力线谐波减法(MB)。本文探讨了在RNC之前是否应该应用MB的问题。首先,通过观察主通道和参考通道之间的谐波关系,分析了RNC中维纳滤波器的理论长度。然后,在多个噪声源中给出RNC之前应用MB的好处。最后,比较了RNC和MB再进行RNC处理后的实测噪声水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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