基于Hilbert-Huang 变换的大地电磁去噪研究

    Denoising of magnetotelluric data based on Hilbert-Huang transform

    • 摘要: 大地电磁信号易受噪声干扰产生近场效应,严重影响采集的信号质量。现阶段使用较为广泛的远参考-robust方法在压制近场干扰方面还有所不足。本文在使用数值模拟验证希尔伯特-黄变换(HHT)对噪声的压制效果后,将其用于处理一个近场干扰较严重的大地电磁信号,得到了较为显著的效果;同时,使用极化方向的分布函数计算电场和磁场的极化分布,也发现分布函数的高斯性得到了修复,从另一个角度验证了HHT在压制近场干扰方面的有效性。

       

      Abstract: Near-field effects are liable to rise in magnetotelluric signals due to noise, which seriously affects the quality of the collected signals. The widely used remote reference method-Robust-still has some shortcomings in suppressing near-field interference. In this paper, after being verified using numerical simulation in terms of denoising effects, the Hilbert-Huang transform (HHT) was applied to a magnetotelluric signal with serious near-field interference, achieving remarkable effects. Meanwhile, the polarization distribution of the electric and magnetic fields was calculated using the distribution function of polarization directions. It was found that the distribution function was closer to a Gaussian distribution function, also verifying the effectiveness of the HHT in suppressing near-field interference.

       

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