Extraction Method of Independent Harmonic Components of Gravity Solid Tide Signal Based on pbil

Abstract

The invention provides a Population-based Incremental Learning (PBIL) algorithm-based gravity earth tide signal independent harmonic component extracting method, and belongs to the field of signal processing. The method mainly comprises steps of analysis based on a gravity earth tide signal orthogonal decomposition model, pre-processing of gravity earth tide signals, parameter setting of the PBIL algorithm, establishing of an optimal target function, gravity earth tide signal independent component analysis and harmonic wave extraction. According to the invention, the PBIL algorithm is introduced into the traditional independent component analysis algorithm, so phenomena of prematurity and local convergence of the traditional independent component analysis algorithm are effectively avoided; and separation effects and better implementation effects are improved.

Description

Technical field: [0001] The invention relates to an optimization algorithm, in particular to an algorithm for extracting independent harmonic components of gravity solid tide signals based on PBIL, and belongs to the field of signal processing. Background technique: [0002] Under the tidal gravitational force of celestial bodies such as the sun and the moon, the earth will undergo elastic deformation, and the gravity at any point on the earth's surface will also change periodically. The observable geophysical signal reflecting this phenomenon is the gravitational solid tidal signal . The analysis of gravitational solid tide signals has a wide range of applications in related earth sciences such as geodesy, geophysics and seismology. [0003] The tidal potential produced by celestial bodies such as the sun and the moon on the earth's surface changes with the relative position of their orbits. The tidal potential generated at any point can be expanded according to Dussen's h...

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Problems solved by technology

[0004] At present, the traditional analysis methods for gravitational solid tidal signals cannot clearly explain the relationship between each harmonic component in the gravitational solid tidal signal and the gravitational tidal effect of different celestial bodies from the perspective of the generation mechanism of the gravitational solid tidal signal.

At the same time, the traditional independent component analysis algorithm has high requirements on the numerical value of the initialization unmixing matrix, and the constraint items are fixed, and there is no learning rate, etc., which cannot adapt to the changing environment and achieve the optimal convergence effect, and it is easy to fall into the local optimum. to better separation

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