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Proceedings Paper

Removal of correlated noise online for in situ measurements by using multichannel magnetic resonance sounding system
Author(s): Tingting Lin; Siyuan Zhang; Yang Zhang; Ling Wan; Jun Lin
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Paper Abstract

Compared with the other geophysical approaches, magnetic resonance sounding (MRS) technique is direct and nondestructive in subsurface water exploration. It provides water content distribution and estimates hydrogeological properties. The biggest challenge is that MRS measurement always suffers bad signal-to-noise ratio, and it can be carried out only far from sources of noise. To solve this problem, a series of de-noising methods are developed. However, most of them are post-processing, leading the data quality uncontrolled for in situ measurements. In the present study, a new approach that removal of correlated noise online is found to overcome the restriction. Based on LabVIEW, a method is provided to enable online data quality control by the way of realizing signal acquisition and noise filtering simultaneously. Using one or more reference coils, adaptive noise cancellation based on LabVIEW to eliminate the correlated noise is available for in situ measurements. The approach was examined through numerical simulation and field measurements. The correlated noise is mitigated effectively and the application of MRS measurements is feasible in high-level noise environment. The method shortens the measurement time and improves the measurement efficiency.

Paper Details

Date Published: 23 January 2017
PDF: 11 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221T (23 January 2017); doi: 10.1117/12.2265789
Show Author Affiliations
Tingting Lin, Jilin Univ. (China)
Siyuan Zhang, Jilin Univ. (China)
Yang Zhang, Jilin Univ. (China)
Ling Wan, Jilin Univ. (China)
Jun Lin, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

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