An Decomposition Model Of Earth 's Solid Tide Signal Based On PCA And Its Information Extraction

Earth tide is a kind of geophysical phenomena that can cause the internal deformation and movement. It includes earth gravity tide, tilt tide and so on. The earth gravity tide is a recurring phenomenon that is caused by the change of the earth’s gravitational field. We can extract useful geophysical information from it to understand the interior structure of the earth and earthquake precursors.Principal Component Analysis (PCA) is a main approach based on the second order statistics. It can remove the correlation between the signal components. PCA has been widely used in blind source separation and received attention because of its potential application in signal processing.Hilbert transform has a very important role in the theory and application of digital signal processing. Through the Hilbert transform, we can get the frequency characteristics of signal. It can reflect the signal information intuitively.Based on the earth gravity tide signal decomposition model, the force is decomposed into the equatorial plane and rotation direction. Through analyzing the earth gravity tide signal data and information extraction, we can get the axis direction of decomposition signal that contain long period wave and equatorial plane decomposition signal that contain long period wave, the third wave, day wave and half day wave. This article for the earth gravity tide signal decomposition model provides a new thinking mode in long period wave, a third day wave, half day wave and day wave.