概率密度函数在超导重力台站背景噪声中的应用

Application of Probability Density Function on Background Noise in Superconducting Gravity Station

该研究比较了传统的超导重力台站背景噪声计算方法SNM和基于概率密度函数的DNM方法,并以2012年拉萨超导重力台站为例进行了背景噪声评估。分别对采样率为1 min和1 s的原始数据进行预处理和传统方法分析,得到SNM分别为1.226和0.909;计算了台站地震噪声功率谱密度函数并得到SNM为0.945。通过对比分析结果可知,基于概率密度函数的台站背景噪声计算结果与传统方法1min采样计算结果具有较好的一致性,可以作为传统评估超导重力台站背景噪声的有效补充。

The traditional method SNM(Signal-to-Noise Ratio)and the DNM(Density-based Noise Model)method were compared based on the probability density function.The background noise of the 2012 Lhasa superconducting gravimeter station was evaluated as an example.The raw data with sampling rates of 1 minute and 1 second were preprocessed and analyzed by using the traditional methods,resulting in SNM values of 1.226 and 0.909 respectively.The power spectral density function of the seismic noise at the station was computed,and an SNM value of 0.945 was obtained.Comparative analysis result shows that the DNM method based on the probability density function is in good agreement with the 1-minute sampling result obtained using the traditional method,and it can effectively complement the traditional evaluation of background noise for superconducting gravimeter stations.