Phase detection method of vibrator signal based on k-l decomposition

Abstract

The invention relates to a method for detecting vibroseis signal phases based on K-L decomposition. When a vibroseis works, excitation signals of a vibroseis are acquired in real time through a sensor installed on the vibroseis, high random noise of the signals is removed through a K-L decomposer, and the signals are sent to a phase detector and a phase controller respectively to conduct phase detection and phase control on the vibroseis excitation signals. Compared with an existing filtering method, phase information of original signals is not lost in the vibroseis excitation signals extracted by adopting the K-L decomposition method, and the K-L decomposition method especially has the good suppressing effect on signal bands with the high random noise; compared with a self-adaptive filtering method, a mathematic model does not need to support the method for detecting the vibroseis signal phases based on K-L decomposition, and the method can be excellently suitable for unknown coupling model environment; the signals extracted by adopting the K-L decomposition method can truly reflect phase information of the vibroseis excitation signals, the problem of zero point hopping in zero crossing point phase detection is solved, and accuracy of phase detection of the vibroseis excitation signals is improved.

Description

Technical field: [0001] The invention relates to a phase detection method of a vibrator excitation signal, especially suitable for a phase detection method of a vibrator under the condition of strong random noise, and the detection method can be used for the feedback control of the vibrator and the quality control process of the vibrator Phase detection link. Background technique: [0002] K-L decomposition refers to the orthogonal decomposition of the vibroseis excitation signal containing strong random noise by using the K-L orthogonal transformation method. After the noise-containing vibrator signal is decomposed by K-L, the useful signal is reflected in the largest orthogonal component, and the noise Distributed in other orthogonal components, thus achieving effective separation of signal from random noise. Because the orthogonal transformation is a linear transformation, the vibroseis phase detection method based on K-L decomposition can be used as an effective vibrato...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, using the signal-to-noise difference that random noise has random distribution characteristics and vibrator signals have definite characteristics, to provide a vibroseis phase detection method based on K-L decomposition to solve strong Phase Detection Difficulties of Vibroseis Signals in Noisy Conditions

Images