Using AR Model Spectrum Algorithms to Detect Superconducting Gravimetric Signals

The principle of AR(auto-regression) model spectrum is introduced.Both AR model spectrum and the periodogram method are used to detect the semi-diurnal signal of the superconducting gravimetric data at three stations of Strasbourg(France),Mt Stromlo(Australia) and Matsushiro(Japan).Taking the theoretic value of the semi-diurnal as a standard,we compare and analyze the results by these two methods,which show that both methods can obtain good spectral estimations,but the AR model spectrum is more accurate and robust than the periodogram method.