A method for identification and separation of magnetotelluric signal and noise

A kind of magnetotelluric and separation method technology, applied in the recognition of patterns in signals, character and pattern recognition, instruments, etc., can solve the problems affecting the reliability and interpretability of magnetotelluric data, the quality of magnetotelluric signal data is degraded, and the blindness And other issues

Active Publication Date: 2018-08-21
HUNAN NORMAL UNIVERSITY
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Problems solved by technology

However, the existing technology mainly uses the overall processing method to suppress noise, which is blind, which leads to the removal of strong interference and some useful slow-changing information. As a result, over-processing occurs. Data quality degradation, seriously affecting the reliability and interpretability of magnetotelluric data

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  • A method for identification and separation of magnetotelluric signal and noise
  • A method for identification and separation of magnetotelluric signal and noise
  • A method for identification and separation of magnetotelluric signal and noise

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Embodiment Construction

[0073] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0074] Such as figure 1 As shown, the present invention discloses a method for identification and separation of magnetotelluric signal and noise, comprising the following steps:

[0075] Step 1. Initialize parameters, divide the magnetotelluric signal time series into J segments at equal intervals, and perform mean value removal processing on each magnetotelluric signal segment;

[0076] Step 2. Perform optimized intrinsic time scale decomposition on each magnetotelluric signal segment x(t) after de-meaning processing, and obtain N rotation components PR with frequencies distributed from high to low n (t) and a residual component R with a monotonically changing trend N (t), where n=1,2,...,N;

[0077] Step 3. Extract the sample entropy and fuzzy entropy of the N rotation components obtained by decomposing the optimized intrinsic time scale o...

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Abstract

The invention provides a method for identification and separation of magnetotelluric signal and noise. Firstly, the magnetotelluric signal collected in the environment of strong electromagnetic interference is segmented at equal intervals, and the optimal intrinsic time scale decomposition is used to adaptively decompose each segment of the magnetotelluric signal to obtain the rotation component, and the sample entropy and fuzzy entropy of the rotation component are extracted . Then, the sample entropy and fuzzy entropy are used as the joint characteristic parameters for fuzzy C-means clustering. According to the characteristic parameters and clustering method, the measured magnetotelluric sequences are divided into two categories: useful signals and strong interference signals. Finally, only for the magnetotelluric signal segments identified as strong interference signals, the wavelet threshold is used for noise suppression processing, and the reconstructed magnetotelluric signal is obtained by superposition. The invention has high reliability.

Description

technical field [0001] The invention belongs to the technical field of magnetotelluric signal processing, in particular to a method for identifying and separating magnetotelluric signal noise. Background technique [0002] Magnetotelluric sounding is an important electromagnetic prospecting technology, in which the natural alternating electromagnetic field is used as the field source to collect magnetotelluric data by measuring the mutually orthogonal electric and magnetic fields on the surface. Due to the weak natural electromagnetic field signal and wide frequency band, the data collected in the field will inevitably be disturbed by various noises. Especially in the mine-intensive areas, factors such as dense population and wireless communication base stations seriously restrict the quality of magnetotelluric data, resulting in excessive distortion of the apparent resistivity-phase curve, which greatly affects the interpretability of the underground electrical structure an...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/08G06F18/23
Inventor 李晋张贤燕欢蔡锦刘晓琼邬芳
Owner HUNAN NORMAL UNIVERSITY
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