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.
[9] CHENG F S， ZHOU H Y， CHENG L Q.Improved differential evolution algorithms[J]. IEEE International Conference on Computer Science and AutomationEngineering(CSAE).2012(3)：142-145.
2017, Vol. 51 
