Artificial source electromagnetic exploration signal denoising method and system with noise reference channel

Abstract

The invention discloses an artificial source electromagnetic exploration signal denoising method and system with a noise reference channel, and the method comprises the steps: setting a noise observation point in an observation region, and enabling the noise observation point to only collect a magnetic field signal of noise. The denoising method specifically comprises the following steps: performing sparse decomposition on an observed noise signal based on orthogonal matching pursuit; and carrying out signal-to-noise separation on the observation signal according to the decomposition result ofthe noise signal. By adding the pure noise observation device, only pure noise signals are collected, the periodic characteristics of artificial source signals are utilized, the denoising problem isconverted into the noise solving problem on the basis of the frequency spectrum discrete characteristics, the denoising difficulty is reduced, and the denoising success rate is increased.

Description

technical field [0001] The invention belongs to the technical field of artificial source electromagnetic exploration, in particular to a method and system for denoising artificial source electromagnetic exploration signals with a noise reference track. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The artificial source electromagnetic exploration method has been widely used in the fields of energy, resource exploration, geological disaster and urban geological survey due to the characteristics of controllable field source, known signal type and relatively high signal-to-noise ratio. Electromagnetic method (CSAMT), wide-area electromagnetic method (WFEM), etc. [0004] However, with the continuous development of human society in recent years, strong human noise interference is widespread, which has become one of the key factors affectin...

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Problems solved by technology

The inventors found that among them, the statistical method adopts the method of superposition estimation to realize signal-to-noise separation, but it needs a large number of samples as a premise, and it is difficult to achieve effective denoising when the sample data is insufficient; the filtering method is mainly based on the noise and signal in the frequency spectrum There is a significant difference between the two in the middle or after the signal is projected into a specific space, so as to achieve signal-to-noise separation. If the spectral characteristics of the signal and noise are complex and overlap each other, it is difficult to separate them in the corresponding space. For example, in the face of some In the case of unsteady electromagnetic noise, effective denoising processing is difficult to complete; the empirical mode method can deal with signal noise in a variety of complex situations, and the signal-noise separation effect is remarkable, but when the effective signal and noise signal spectral components overlap seriously However, there are still great difficulties in achieving effective signal-to-noise separation, and such methods are mostly used in natural source electromagnetic exploration, while the properties of artificial source electromagnetic signals and magnetotelluric signals are very different, and the spectral discrete characteristics of artificial source effective signals often affect the noise effect

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