全张量重力数据水平分量噪声滤除方法

Noise filtering of horizontal components of full tensor gravity gradient data

为获得更好的噪声滤除方法,本文建立一个球状模型,对全张量重力梯度三个水平分量加入高斯白噪声,并利用FFT和PSD分别对加噪后三个分量(Vxx1,Vxy1,Vyy1)进行频谱分析,根据频谱分析结果分别设计了巴特沃斯低通滤波器和高斯低通滤波器对加噪数据进行滤波,取得了较好效果,并利用复杂模型验证滤波效果。

In order to obtain a better method for noise filtering,this paper establishes a spherical model,adding Gauss white noise into the three horizontal components of full tensor gravity gradient data,and using FFT and PSD to analyse spectrum of the three component which are added noise（ Vxx1,Vxy1,Vyy1）. According to the results of spectral analysis,we design Butterworth low pass filter and Gaussian low pass filter to filter the false data,and achieve a good result and use complex model to verify the effect of filtering.