Research on the received signal correction technique of ground-airborne frequency-domain electromagnetic

Ground-airborne frequency-domain electromagnetic (GAFEM) is an important method of detecting electrical information about subsurface materials (Lin et al., 2019). The method requires the manual emission of a known frequency-domain signal. The signal is received by a magnetic sensor and then processed to obtain useful information. However, with the development of magnetic detection technology and data processing methods, the current receiving system sensor position acquisition is not accurate enough, which will affect the final data processing result. The current detection method will make the received electromagnetic data contain motion and attitude noise. This paper addresses the noise generation mechanism and proposes a new data processing algorithm to systematically solve the above problems. Finally, the effectiveness of the method in this paper is verified by practical tests.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1190/gem2024-112.1
Citations
1
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.34
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article

Research on the received signal correction technique of ground-airborne frequency-domain electromagnetic

Changsheng Liu, Yang Su
1 citations
Geophysical Methods and Applications
0.34
article

Research on the received signal correction technique of ground-airborne frequency-domain electromagnetic

Changsheng Liu, Yang Su
article en
1 citations

Abstract

Ground-airborne frequency-domain electromagnetic (GAFEM) is an important method of detecting electrical information about subsurface materials (Lin et al., 2019). The method requires the manual emission of a known frequency-domain signal. The signal is received by a magnetic sensor and then processed to obtain useful information. However, with the development of magnetic detection technology and data processing methods, the current receiving system sensor position acquisition is not accurate enough, which will affect the final data processing result. The current detection method will make the received electromagnetic data contain motion and attitude noise. This paper addresses the noise generation mechanism and proposes a new data processing algorithm to systematically solve the above problems. Finally, the effectiveness of the method in this paper is verified by practical tests.

Jilin University (CN), Jilin Medical University (CN)
Affordable and clean energy
Openalex Percentile: Top 42%
Geophysical Methods and Applications
0.34
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