AR模型谱在超导重力数据信号检测中的分析研究
Using AR Model Spectrum Algorithms to Detect Superconducting Gravimetric Signals
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摘要: 在介绍AR(auto-regression)模型谱分析原理的基础上,分别采用AR模型谱和周期图法对法国Strasbourg、澳大利亚Mt Stromlo和日本Matsushiro三个站的超导重力数据进行信号检测,以半日波的理论值1为依据,运用两种方法进行半日波信号检测、分析与比较。结果表明,在超导重力数据信号检测分析中,AR模型谱比周期图法更准确、稳定,且受数据量的影响较小。Abstract: 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.
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