A denoising method of magnetotelluric signal based on noise discrimination

An electromagnetic signal and magnetotelluric technology, which is applied in the recognition of patterns in signals, character and pattern recognition, instruments, etc. It can solve the problems of over-processing of magnetotelluric data, loss of low-frequency slowly changing information, and lack of noise identification links, etc. The effect of classification accuracy

Active Publication Date: 2018-12-28
HUNAN NORMAL UNIVERSITY
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Problems solved by technology

Such as far reference method, Robust method, least square method, wavelet transform, Hilbert-Huang transform, morphological filter, etc., can suppress noise to a certain extent and improve the quality of magnetotelluric data, but these methods have certain limitations, and Focus on overall processing, lack of noise screening, the result often results in over-processing of magnetotelluric data and loss of a large amount of low-frequency slow-change information, resulting in poor denoising effect

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  • A denoising method of magnetotelluric signal based on noise discrimination
  • A denoising method of magnetotelluric signal based on noise discrimination
  • A denoising method of magnetotelluric signal based on noise discrimination

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Embodiment Construction

[0084] The present invention will be further described below in conjunction with examples.

[0085] Such as figure 1 As shown, the present invention discloses an intelligently classified magnetotelluric noise screening and suppression method, comprising the following steps:

[0086] Step1: Extract electromagnetic signal samples from the collected magnetotelluric signals;

[0087] Step2: Extract the approximate entropy and LZ complexity of the electromagnetic signal sample.

[0088] Specifically, the approximate entropy and LZ complexity of 50 undisturbed samples, 50 samples disturbed by square waves, 50 samples disturbed by charge-discharge triangular waves and 50 samples disturbed by pulses in the sample library are extracted. There are 200 samples in total, and the length of each electromagnetic signal sample is 240. Wherein, in this embodiment, 50 undisturbed samples are regarded as non-strong interference samples, and the other 150 samples are regarded as strong interfe...

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Abstract

The invention discloses a magnetotelluric signal denoising method based on noise discrimination, which comprises the following steps: calculating approximate entropy and LZ complexity of each electromagnetic signal sample; using the approximate entropy, LZ complexity and class value of each electromagnetic signal sample to train the preset classification model to get the noise discrimination classification model; acquiring magnetotelluric signals to be processed, and performing noise screening on the magnetotelluric signals to be processed according to the noise screening classification modelto obtain electromagnetic signal segments with non-strong interference and electromagnetic signal segments with strong interference; combining the empirical mode decomposition of complementary set andwavelet threshold method, the strong disturbance electromagnetic signal being suppressed; the reconstructed magnetotelluric signal being obtained by combining the de-noising suppressed electromagnetic signal with the non-strong disturbance electromagnetic signal. The method of the invention can more accurately discriminate the data segments with strong interference and non-strong noise interference, retain the real magnetotelluric signal, and improve the denoising effect of the magnetotelluric signal.

Description

technical field [0001] The invention belongs to the technical field of magnetotelluric signal processing, and in particular relates to a method for denoising magnetotelluric signals based on noise discrimination. Background technique [0002] Magnetotelluric (MT) method is an electrical prospecting method that uses natural field sources to study the electrical properties of underground strata and its distribution characteristics. This method has the advantages of large detection depth, simple construction and low cost, and has been widely used in many fields of geophysics. However, because the natural magnetotelluric field signal is weak and the frequency range is wide, the data collected in the field will inevitably be interfered to varying degrees, especially the increasingly serious human noise interference, resulting in a decline in the quality of the magnetotelluric data and excessive distortion of the apparent resistivity-phase curve. It greatly affects the reliabili...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/12G06F18/2411
Inventor 李晋蔡锦张贤刘晓琼韦香宁严梦纯
Owner HUNAN NORMAL UNIVERSITY
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