Time-domain denoising of time—frequency electromagnetic data

Zhang, Bi-Ming; Dai, Shaotao; Jiang, Qiyun; Yan, Jian; Li, Guang

doi:10.1007/s11770-019-0772-3

Cited by 4 publications

(1 citation statement)

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“…Noise is mainly divided into two parts, the first part is noise at the same frequency as the target frequency, to attenuate the effect of this type of noise, the frequency of transmission and reception (target frequency) are selected in the FDEM that will not coincide with the main noise frequency. The second part is the noise that is not at the same frequency as the target frequency (non-target frequency noise), such as industrial harmonic noise and humanities noise, which will reduce the signal-to-noise ratio of electromagnetic data acquisition and adversely affect the detection precision and exploration accuracy of electromagnetic detection in the frequency domain [13,14], which is the main type of noise considered in this paper. The digital acquisition module of the FDEM receiving system has a measuring range limitation [15].…”

Section: Introductionmentioning

confidence: 99%

Research on Frequency‐Domain Electromagnetic Detection Signal Acquisition Technology Based on Multi‐frequency LC Filtering

Liu,

Yu,

Tian

et al. 2023

IEEJ Transactions Elec Engng

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Frequency‐domain electromagnetic (FDEM) instruments are effective tools for detecting underground electrical abnormal targets. However, due to the influence of various noises in the detection process, would lead to l poor signal‐to‐noise ratio of the system and would ultimately affect the detection accuracy. And FDEM detection systems have a defined measuring range. Excessive noise will lead to saturation of the system acquisition and distortion of the measurement. Because of the above problems, an acquisition technique for the FDEM receiving system is proposed to achieve noise suppression in the detection process. The scheme proposes a multi‐frequency LC filtering circuit to optimize the analog signal acquisition module of the receiver system. The circuit converts the measured voltage signal into a current signal, improving the system's immunity to interference. At the same time, the noise of non‐target frequencies in the measured signal is suppressed, avoiding saturation of the receiving system acquisition, and realizing high signal‐to‐noise acquisition of multiple target frequencies. First, the principle of circuit design is analyzed, and the design flow of circuit parameters is proposed. Further, the validity of the design is verified via simulation results. Finally, the optimization scheme is validated with an actual circuit. The results show that for the measurement environment set in this paper, this optimization scheme can suppress the noise of non‐target frequency in the measured signal, so that the noise amplitude can be reduced by more than 90%, and the signal‐to‐noise ratio of the filtered signal can be improved by 23.35 dB. This study helps to facilitate FDEM instruments to achieve high signal‐to‐noise ratio detection. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Section: Introductionmentioning

confidence: 99%