华中师范大学学报（自然科学版）2017，Vol.51Issue(3)：293-297,5.
基于差分进化算法的重力固体潮信号独立分量分析
ICA and gravity earth tide signals based on DE
摘要
Abstract
The purpose of this work is to solve the difficulty of extracting orthogonal component of tidal harmonic from gravity earth tide signals.An orthogonal decomposition model for gravity earth tide signal is proposed in this paper.Orthogonal decomposition is implemented by the above model from the aspect of space on the harmonic component of the gravity earth tide signal in order for the extracted harmonic component frequency to reflect the independent geophysical information on space.Thus,a new feature extraction method of gravity earth tide signal is presented by combining independent component analysis(ICA)and differential evolution (DE)algorithm,which is more effective to generate the independent component which is consistent with the gravity solid tidal signal decomposition model.In the experiment,the measured signal is processed and compared with the theoretical value in Kunming area.Experimental result shows that the method is able to reveal the relationship of tidal harmonic component in gravity earth tide signals,which is corresponding to the gravity earth tide signal orthogonal decomposition model.Each component contains spectral information consistent with with theory value.These results indicate that this method is effective and a novle method of orthogonal analysis for gravity solid signal.关键词
重力固体潮/分解模型/差分进化(DE)/独立分量分析(ICA)Key words
gravity earth tide signal/orthogonal decomposition model of gravity earth tide signal/differential evolution/independent component analysis分类
天文与地球科学引用本文复制引用
高略,全海燕..基于差分进化算法的重力固体潮信号独立分量分析[J].华中师范大学学报（自然科学版）,2017,51(3):293-297,5.基金项目
国家自然科学基金项目(41364002). （41364002）
