Super-Low Frequency electromagnetic noise processing system based on adaptive filtering

Shanshan Zhao; Nan Wang; Li Chen; Jian Hui; Chengye Zhang; Qiming Qin

doi:10.1109/IGARSS.2015.7326880

Super-Low Frequency electromagnetic noise processing system based on adaptive filtering

Shanshan Zhao^*, Nan Wang, Li Chen, Jian Hui, Chengye Zhang, Qiming Qin

^*Corresponding author for this work

Peking University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Super Low Frequency electromagnetic prospecting methods, based on natural source, have seen an increasingly trend in geophysical applications. It is known that natural source electromagnetic signal is weak, and how to extract useful information has drew great attention wordwidely. In this paper, we designed a signal processing method, an adaptive filter, to filter out the strong power frequency interference at 50Hz and its harmonics mixed in the output signal from induction magnetic sensors. As the output could change with the input, the adaptive filter system is releated to its input signal closely and specificly. Because of its stronger adaptability and better filtering performance, the adaptive filter showed good effectiveness.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4708-4711
Number of pages	4
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7326880
Publication status	Published - 10 Nov 2015
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2015-November

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/Territory	Italy
City	Milan
Period	26/07/15 → 31/07/15

Keywords

Super Low Frequency
adaptive filter
electromagnetic
power frequency

Access to Document

10.1109/IGARSS.2015.7326880

Cite this

Zhao, S., Wang, N., Chen, L., Hui, J., Zhang, C., & Qin, Q. (2015). Super-Low Frequency electromagnetic noise processing system based on adaptive filtering. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 4708-4711). Article 7326880 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2015.7326880

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abstract = "Super Low Frequency electromagnetic prospecting methods, based on natural source, have seen an increasingly trend in geophysical applications. It is known that natural source electromagnetic signal is weak, and how to extract useful information has drew great attention wordwidely. In this paper, we designed a signal processing method, an adaptive filter, to filter out the strong power frequency interference at 50Hz and its harmonics mixed in the output signal from induction magnetic sensors. As the output could change with the input, the adaptive filter system is releated to its input signal closely and specificly. Because of its stronger adaptability and better filtering performance, the adaptive filter showed good effectiveness.",

keywords = "Super Low Frequency, adaptive filter, electromagnetic, power frequency",

author = "Shanshan Zhao and Nan Wang and Li Chen and Jian Hui and Chengye Zhang and Qiming Qin",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",

year = "2015",

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doi = "10.1109/IGARSS.2015.7326880",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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Zhao, S, Wang, N, Chen, L, Hui, J, Zhang, C & Qin, Q 2015, Super-Low Frequency electromagnetic noise processing system based on adaptive filtering. in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings., 7326880, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 4708-4711, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7326880

Super-Low Frequency electromagnetic noise processing system based on adaptive filtering. / Zhao, Shanshan; Wang, Nan; Chen, Li et al.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 4708-4711 7326880 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Super-Low Frequency electromagnetic noise processing system based on adaptive filtering

AU - Zhao, Shanshan

AU - Wang, Nan

AU - Chen, Li

AU - Hui, Jian

AU - Zhang, Chengye

AU - Qin, Qiming

PY - 2015/11/10

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N2 - Super Low Frequency electromagnetic prospecting methods, based on natural source, have seen an increasingly trend in geophysical applications. It is known that natural source electromagnetic signal is weak, and how to extract useful information has drew great attention wordwidely. In this paper, we designed a signal processing method, an adaptive filter, to filter out the strong power frequency interference at 50Hz and its harmonics mixed in the output signal from induction magnetic sensors. As the output could change with the input, the adaptive filter system is releated to its input signal closely and specificly. Because of its stronger adaptability and better filtering performance, the adaptive filter showed good effectiveness.

AB - Super Low Frequency electromagnetic prospecting methods, based on natural source, have seen an increasingly trend in geophysical applications. It is known that natural source electromagnetic signal is weak, and how to extract useful information has drew great attention wordwidely. In this paper, we designed a signal processing method, an adaptive filter, to filter out the strong power frequency interference at 50Hz and its harmonics mixed in the output signal from induction magnetic sensors. As the output could change with the input, the adaptive filter system is releated to its input signal closely and specificly. Because of its stronger adaptability and better filtering performance, the adaptive filter showed good effectiveness.

KW - Super Low Frequency

KW - adaptive filter

KW - electromagnetic

KW - power frequency

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BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings

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Zhao S, Wang N, Chen L, Hui J, Zhang C, Qin Q. Super-Low Frequency electromagnetic noise processing system based on adaptive filtering. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 4708-4711. 7326880. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2015.7326880

Super-Low Frequency electromagnetic noise processing system based on adaptive filtering

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