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重力固体潮信号中的潮汐谐波相互独立,所以,对重力固体潮的谐波分析,就需要提取出各个谐波中的独立成分.据此,在原有独立分量分析算法的基础上,与智能优化算法相结合,提出了一种新的独立分量分析法,基于遗传算法的独立分量分析.对经典遗传算法进行改进,给出了改进后遗传算法的基本原理,讨论了遗传算法独立分量分析的实现过程.同时,应用该方法对重力固体潮信号进行处理,有效地从重力固体潮信号中提取出三个独立分量:长周期波分量、日波分量和半日波分量,以及各成分的特征频率.该方法可行有效,为地球物理信号的分析提供了一个有效的处理方法.
The tidal harmonics in the gravity tidal signals are independent of each other, so the harmonic analysis of the gravity tide needs to extract the independent components of each harmonic. Based on the above, This paper proposes a new independent component analysis and an independent component analysis based on genetic algorithm.It improves the classical genetic algorithm, gives the basic principle of the improved genetic algorithm, and discusses the independent component analysis of the genetic algorithm At the same time, this method is used to process the gravity tide signal and effectively extract three independent components from the gravity tide signal: the long period wave component, the day wave component and the semi-day wave component, and the characteristic frequency of each component The method is feasible and effective, which provides an effective method for the analysis of geophysical signals.