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在矿井透射无线电波透视勘探中，金属导体和电气设备等会对无线电波信号产生较强干扰，严重影响了透射无线电波数据的保幅性和成像的准确性。为此，本文基于矿井下实测噪声数据，分析了矿井无线电波透视信号的噪声特征。通过对矿井透射无线电波三维数值模拟数据加入3～9 dB的随机噪声，采用自适应噪声完备经验模态分解(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, CEEMDAN)滤波法，验证并对比透射无线电波数据去噪处理效果。数值模拟结果表明，CEEMDAN滤波法可有效提高无线电波透射信号的信噪比，经CEEMDAN滤波后，信噪比从1.368提升到8.693。将CEEMDAN滤波方法用于源检距40 m的无线电波透射勘探，滤波后的数据对比实测数据跳动的幅值明显减小，图形平滑度提升，随机噪声去除效果明显。进一步将CEEMDAN滤波方法用于实测记录的滤波，低阻异常区的随机噪声去除效果最为明显，地质异常区划分更加精确，表明CEEMDAN滤波法能有效应用于无线电波透射信号数据去噪处理。
Abstract：In the exploration of transmitting radio waves through mines, metal conductors and electrical equipment can cause strong interference to the radio wave signals, seriously affecting the amplitude preservation of the transmitted radio wave data and imaging accuracy. Therefore, based on the measured noise data in underground mines, this paper analyzes the noise characteristics of the mine radio wave tomography signals. By adding random noise between 3～9 dB to the three-dimensional numerical simulation data of the mine radio wave transmission, the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) filtering method is used to verify and compare the denoising effectiveness of the transmitted radio wave data. The numerical simulation results show that the CEEMDAN filtering method can effectively improve the signal-to-noise ratio of the radio wave transmission signals, increasing it from 1.368 to 8.693. When the CEEMDAN filtering method is applied to the radio wave transmission exploration with a source-receiver distance of 40 meters, the CEEMDAN-filtered data show a substantial reduction in amplitude fulctuation and improved smoothness compared to the measured data, indicating effctive supression of random noise. Furthermore, when the CEEMDAN filtering method is applied to the filtering of the measured records, the random noise in the low-resistance anomaly area is the most obviously removed, and the division of the geological anomaly area is more accurate. These findings indicate that the CEEMDAN filtering method is effectively applied to the denoising processing of radio wave transmission signal data.
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基本信息:
DOI：
中图分类号:P631.3;TD67
引用信息:
[1]罗浩,胡泽安,李锡明.基于CEEMDAN滤波变换的无线电波去噪方法研究[J].工程地球物理学报,2025,22(04):625-631.
基金信息:
煤炭安全精准开采国家地方联合工程研究中心(安徽理工大学)开放基金项目(编号:EC2022010); 安徽省高校优秀青年人才支持计划项目(编号:gxyq2021180)