ZOU Ning, JIN Yangchao, GUO Cheng, TAO Shan, SONG Hai. EMD-Based Borehole Radar Signal Preprocessing Method[J]. Journal of University of Electronic Science and Technology of China, 2022, 51(6): 875-883. DOI: 10.12178/1001-0548.2021379
Citation: ZOU Ning, JIN Yangchao, GUO Cheng, TAO Shan, SONG Hai. EMD-Based Borehole Radar Signal Preprocessing Method[J]. Journal of University of Electronic Science and Technology of China, 2022, 51(6): 875-883. DOI: 10.12178/1001-0548.2021379

EMD-Based Borehole Radar Signal Preprocessing Method

  • Aiming at the problem that the radar data in the well is difficult to extract effective data due to factors such as pollution in the complex environment, this paper proposes a two-dimensional modal empirical decomposition method (BEMD) based on the empirical mode decomposition method (EMD). The time-frequency domain decomposition algorithm of radar signal preprocessing is analyzed, and the two-dimensional radar signals in wells can be processed effectively by extending the signals to high dimensions. The simulation results show that the proposed BEMD can effectively eliminate the interference of high frequency and low frequency and achieves a great improvement compared with the one-dimensional modal empirical decomposition, which verifies that the method has the potential to be applied to the processing of radar data in Wells..
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