基于同步提取变换的地空频率域电磁信号幅度提取方法

doi:doi:10.13278/j.cnki. jjuese.20230084

Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (2): 647-654.doi: doi:10.13278/j.cnki. jjuese.20230084

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Amplitude Extraction of Ground-Airborne Frequency-Domain Electromagnetic Signals Based on Synchroextracting Transform

Chen Liang1, Zhang Tianyu1, Wang Yanzhang2,3,4, Zhou Haigen2,3,4, Jiang Chuandong2,3,4

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1. Bayingolin Transportation Construction of CCCC First Highway Engineering Group Co., Ltd., Korla 841000, Xinjiang, China
2. National Geophysical Exploration Equipment Engineering Research Center (Jilin University), Changchun 130026, China
3. Key Laboratory of Geophysical Exploration Equipment (Jilin University), Ministry of Education, Changchun 130026, China
4. College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China

Online:2024-03-26 Published:2024-04-10
Supported by:
Supported by the National Natural Science Foundation of China (42004059) and the National Key Research and Development Program of China (2017YFC0601802)

Abstract

Abstract: The detection signal of the ground-airborne frequency-domain electromagnetic method (GAFDEM) is multi-frequency non-stationary signal, when extracting its amplitude using conventional Fourier transform methods, the resolution is poor. To solve the above problem, this paper proposes an amplitude extraction method of ground-airborne frequency-domain electromagnetic signal based on synchroextracting transform (SET). This method performs SET on the electromagnetic data to obtain high-resolution time-frequency graph, and uses energy operator to make the energy of time-frequency spectral electromagnetic data more concentrated. At the same time, the greedy algorithm is used to realize the ridge extraction method to obtain the high energy band of the time-frequency graph. By filling in zero values in the ridges adaptively through autoregressive model, the endpoint effect problem caused by the window function is solved. according to the complex value of the time-frequency-diagram at the ridge location, the variation of the amplitude of each frequency component with time is obtained, and the accuracy of the amplitude extraction of electromagnetic signals in the ground-airborne frequency-domain based on SET is investigated under different signal-to-noise ratios. Through calculation, when the signal-to-noise ratio is greater than or equal to 10 dB, the average relative root mean square error of the amplitude extraction result is less than 5%; When the signal-to-noise ratio is less than 10 dB, the average relative root mean square error of the amplitude extraction result is less than 10%, achieving good extraction results. This method is applied to the GAFDEM delection of the Huola Mountain tunnel project in Xinjiang, and the amplitude of each frequency component of the multi-frequency electromagnetic signal is successfully extracted. Compared with the method of extracting non-stationary signal amplitude using the Fourier transform, this method effectively improves the resolution of amplitude extraction results.

Key words: ground-airborne frequency-domain electromagnetic method, time-frequency analysis, nonstationary signal, parameter estimation, synchroextracting transform

CLC Number:

P319.3

Chen Liang, Zhang Tianyu, Wang Yanzhang, Zhou Haigen, Jiang Chuandong, .

Amplitude Extraction of Ground-Airborne Frequency-Domain Electromagnetic Signals Based on Synchroextracting Transform [J].Journal of Jilin University(Earth Science Edition), 2024, 54(2): 647-654.

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Amplitude Extraction of Ground-Airborne Frequency-Domain Electromagnetic Signals Based on Synchroextracting Transform

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