广义分维在地震信号初至检测中的应用

The application of generalized fractal in arrival time detection of seismograms

基于地震信号的能量特征及广义分维的思想,给出一种新的地震信号初至估计算法。根据Mandelbrot-Richardson曲线截距的变化,可以准确检测到地震信号的初至。对于微弱地震信号初至的检测,首先按信号幅频特征的变化对原始记录进行预处理,在不改变地震信号初至的前提下,提高了记录的信噪比。对MR曲线的截距变化曲线进行类似于坐标旋转的校正,使对应信号初至的拐点成为曲线的极小值,有助于信号初至的自动检测。

Based on the energy features of seismic signals and generalized fractal, a novel algorithm of arrival time detection for seismogram was presented in this paper. The change of intercept of Mandelbrot-Richardson curve can be used to estimate arrival time of seismic signal accurately. A new pre-processing method was also proposed , which can increase the signal to noise ratio of weak seismic signals and not influence the first break of signals. In order to detect arrival time of signals automatically, the intercept curve was corrected using a method that similarly to coordinate rotation.