NDLI: Adaptive notch filter based on LMS algorithm and its application in ground tilt data processing

Content Provider	IEEE Xplore Digital Library
Author	Ye Wu Yongge Wan Yingqiu Li
Copyright Year	2012
Description	Author affiliation: Department of Earthquake Science, Institute of Disaster-Prevention Science & Technology, Yanjiao, Sanhe city, Hebei Province, P. R. China (Ye Wu; Yongge Wan; Yingqiu Li)
Abstract	The basic principles of adaptive notch filter are derived in detail in this paper. The possibility of gaining reference signal by the use of signal frequency estimation through the approach of adaptive notch filter is studied. The numerical experiments extracting the specific harmonic wave by using this notch filter show that when the frequency of the extracted composition is very close to that of the noise composition, the filtering effect of the adaptive notch filter will be obviously decreased, and the close range is 1e-3∼1e-4. The idea of restraining various types of tides in sequence is proposed at first and it obtains the long-term trend of tides. The three types of ground tides are effectively filtered out respectively to pick-up the long-term trend of the tilt observed data. The research results show that the adaptive notch filter has a lower frequency-drift range and performs well in process of the observed data so that its application is promising in the signal process of surface-wave data, free oscillation wave data and earthquake precursor acquisition data.
Starting Page	2345
Ending Page	2348
File Size	248967
Page Count	4
File Format	PDF
ISBN	9781457714146
e-ISBN	9781457714153
DOI	10.1109/CECNet.2012.6201531
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wiener filter LMS Earthquakes Adaptive filters Time frequency analysis Filtering theory Tides Solid tide Adaptive filterin
Content Type	Text
Resource Type	Article

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