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首页> 外文期刊>Geoscientific Instrumentation, Methods and Data Systems Discussions >Suppression of very low frequency radio noise in transient electromagnetic data with semi-tapered gates
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Suppression of very low frequency radio noise in transient electromagnetic data with semi-tapered gates

机译:用半锥形栅极抑制瞬态电磁数据中非常低频的无线电噪声

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The transient electromagnetic method (TEM) is widely used for mapping subsurface resistivity structures, but data are inevitably contaminated by noise from various sources. It is common practice to gate signals from TEM systems to reduce the amount of data and improve the signal-to-noise ratio (SNR). Gating acts as a filter, and optimum gating will pass the TEM signal un-attenuated while suppressing noise. In systems based on analog boxcar integrators, the gating corresponds to filtering with a square window. The frequency response of this window shape has large side lobes, which are often insufficient in attenuating noise, e.g., from radio signals in the very low frequency (VLF) 3–30?kHz band. Tapered gates have better side lobe suppression and attenuate noise better, but tapering with analog boxcar integrators is difficult. We propose using many short boxcar gates, denoted sub-gates, and combine the sub-gates into semi-tapered gates to improve noise rejection at late gates where low signal normally leads to poor SNR. The semi-tapering approach is analyzed and tested experimentally on data from a roving TEM system. We quantify the effect of semi-tapered gates by computing an improvement factor as the ratio between the standard error of data measured with boxcar gates and the standard error of data measured with semi-tapered gates. Data from a test survey in Gedved, Denmark, with 1825 measurements gave mean improvement factors between 1.04 and 2.22 for the 10 late-time gates centered between 78.7 and 978.1? μs . After inversion of the data, we find that semi-tapering increases the depth of investigation by about 20?% for this specific survey. We conclude that the semi-tapered approach is a viable path towards increasing SNR in TEM systems based on analog boxcar integrators.
机译:瞬态电磁法(TEM)广泛用于映射地下电阻率结构,但数据不可避免地被各种来源的噪声污染。常见的做法是从TEM系统的栅极信号来减少数据量并提高信噪比(SNR)。选通用作为滤波器,并且最佳门控将通过在抑制噪声的同时未衰减的TEM信号。在基于模拟BoxCAR集成商的系统中,Gating对应于用方形窗口过滤。该窗口形状的频率响应具有大的侧瓣,其通常不足以减弱噪声,例如,从非常低频(VLF)3-30的无线电信号,例如3-30 kHz频带。锥形栅极具有更好的侧瓣抑制并更好地衰减噪音,但逐渐变细,模拟BOLDCAR集成商很困难。我们建议使用许多短箱门,表示子门,并将子门与半锥形栅极组合成半锥形栅极,以改善后期栅极处的噪声抑制,其中低信号通常导致差的SNR。从粗纱TEM系统实验上分析和测试半逐方的方法。我们通过计算改进因子作为用BoxCar门测量的数据标准误差与用半锥形栅极测量的数据标准误差之间的比率来量化半锥形栅极的影响。来自丹麦GEDVED的测试调查的数据,1825次测量为1.04和2.22之间的平均改善因子为78.7和978.1之间的10个延迟栅极介于1.04和2.22之间? μs。在数据反转后,我们发现该特定调查的半逐渐变细增加了约20℃的深度约20.%。我们得出结论,半锥形方法是基于模拟BoxCAR集成商的TEM系统中增加SNR的可行路径。

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