Removal of correlated noise online for in situ measurements by using multichannel magnetic resonance sounding system

Tingting Lin; Siyuan Zhang; Yang Zhang; Ling Wan; Jun Lin

doi:10.1117/12.2265789

23 January 2017 Removal of correlated noise online for in situ measurements by using multichannel magnetic resonance sounding system

Tingting Lin, Siyuan Zhang, Yang Zhang, Ling Wan, Jun Lin

Author Affiliations +

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103221T (2017) https://doi.org/10.1117/12.2265789
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

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.

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Tingting Lin, Siyuan Zhang, Yang Zhang, Ling Wan, and Jun Lin "Removal of correlated noise online for in situ measurements by using multichannel magnetic resonance sounding system", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221T (23 January 2017); https://doi.org/10.1117/12.2265789

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KEYWORDS

Interference (communication)

LabVIEW

Signal to noise ratio

Electronic filtering

Digital filtering

In situ metrology

Magnetism

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