Audio ground electromagnetic signal de-noising method based on signal-noise classification

Abstract

The invention discloses an audio ground electromagnetic signal de-noising method based on signal-noise classification. The method comprises the following steps: extracting audio ground electromagneticsignal samples; respectively computing unevenness and irregularity of multifractal spectrum of each audio ground electromagnetic signal sample; training a preset classification model by utilizing theunevenness and irregularity of multifractal spectrum of each audio ground electromagnetic signal sample and a classification value of each audio ground electromagnetic signal sample; performing classification on a to-be-prepared measured audio ground electromagnetic signal according to a signal-noise classification mathematical model to obtain a signal segment not in strong interference and the signal segment in strong interference; performing matching tracing de-noising processing on the electromagnetic signal segment in strong interference; and combining the signal segment after de-noisingprocessing and the signal segment not in strong interference to obtain a reconstructed audio ground electromagnetic useful signal. Through the above method disclosed by the invention, the audio groundelectromagnetic signal with higher quality can be acquired, the condition that the signal not in the strong interference is filtered can be effectively avoided, and the de-noising precision is improved.

Description

technical field [0001] The invention belongs to the field of electromagnetic exploration data processing, and in particular relates to an audio frequency magnetotelluric signal denoising method based on signal-to-noise classification. Background technique [0002] At present, audio magnetotelluric (Audio magnetotelluric, AMT) is based on the principle of magnetotelluric sounding, which is a plane wave Carnia resistivity frequency domain electromagnetic sounding method. Due to the complex sources of human electromagnetic interference, some interferences show obvious characteristics in the audio frequency magnetotelluric time series, such as pulse interference, power frequency noise, etc.; some are not obvious, but have strong characteristics in the frequency spectrum, such as geomagnetic noise, etc. ; some do not show any features in both time series and frequency spectrum, such as geological noise and so on. It is precisely because these noises are superimposed with electro...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an audio magnetotelluric denoising method based on signal-to-noise classification, by first classifying audio-frequency magnetotelluric signals and then denoising to obtain higher-quality audio-frequency magnetotelluric signals to solve existing problems. The problem of filtering out non-strong interference signals

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