Related identification data preprocessing method based on pseudo-random coding threshold optimization

Abstract

The invention discloses a related identification data preprocessing method based on pseudo-random coding threshold optimization. The method comprises the steps of S1, obtaining current data of pseudo-random coding emission current and secondary magnetic field response data generated by an underground good conductor; S2, selecting a threshold value, and optimizing the current data in a threshold method; S3, judging whether oscillation exists in the current data optimized by the threshold method or not, if yes, returning to the step S2, reselecting a new threshold, and if not, entering the nextstep; S4, performing down-sampling on the data responded by the secondary magnetic field, wherein the sampling frequency after down-sampling is equal to the sampling frequency of the optimized currentdata; and S5, deriving the time by the optimized current data to obtain a current derivative, and performing correlation identification method operation on the current derivative and the downsampledsecondary magnetic field response data to obtain a ground pulse response estimated value. The method provided by the invention can effectively eliminate Gibbs oscillation in the current to obtain theground pulse response estimated value.

Description

technical field [0001] The present disclosure relates to a data preprocessing method for a pseudorandom coding magnetic source transient electromagnetic system to obtain information such as ground conductivity and the underlying depth and the position of a metal object, in particular to a related identification data preprocessing based on pseudorandom coding threshold optimization The method belongs to the technical field of time domain magnetic source pseudo-random coding transient electromagnetic data processing. Background technique [0002] The transmitting and receiving devices of the transient electromagnetic system of the pseudo-random code magnetic source are located on the surface of the earth, and the collected data is preprocessed based on the principle of transient electromagnetic method, so as to obtain information such as the conductivity of the earth; it can be widely used in oceans, polar regions, The complex terrain of metal minerals and oil and gas resource...

AI Technical Summary

Problems solved by technology

However, due to the limited bandwidth of the current acquisition equipment, it can only acquire signals within a certain frequency range, resulting in frequency truncation. Frequency truncation causes the Gibbs effect of time domain signals, so that better preprocessing results cannot be obtained.

Since the essence of the Gibbs effect is caused by the absence of frequency, the current cannot be well optimized by filtering

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