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A Novel Method for Feature Extraction and Recognition of Echo Signal of Underground Cable

机译:一种新的地下电缆回波信号的特征提取和识别方法

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A new method for feature extraction and recognition of echo signal of underground cable is proposed. By this method, we use preprocessing to remove the direct coupled wave, set the threshold to segment the image, search the maximum energy of each horizontal position to extract hyperbolic characteristic points, and then use the least squares method for hyperbolic fitting. Based on this method, we can quickly recognize hyperbolic characteristics, extract the information of hyperbolic vertex, calculate the propagation velocity of electromagnetic wave in underground medium by weighted velocity method, and finally acquire the buried depth of underground cable. Based on finite difference time-domain method, the numerical simulation of the cable model under the soil is carried out. The method is applied to the forward analysis to verify the accuracy of the method, which provides the necessary information for the image modeling of the underground cable.
机译:提出了一种新的地下电缆回波信号的特征提取和识别方法。通过这种方法,我们使用预处理来删除直接耦合波,将阈值设置为分段图像,搜索每个水平位置的最大能量以提取双曲线特征点,然后使用最小二乘法进行双曲线拟合。基于这种方法,我们可以快速识别双曲线特性,提取双曲顶点的信息,通过加权速度法计算地下介质中电磁波的传播速度,最后获取地下电缆的埋藏深度。基于有限差分时域方法,进行了土壤下电缆模型的数值模拟。该方法应用于前向分析以验证方法的准确性,为地下电缆的图像建模提供了必要的信息。

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