Estimation Algorithm for Low Frequency Seismic Motions Based on Extended Semblance Function


Share / Export Citation / Email / Print / Text size:

International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science, Software Engineering


eISSN: 2470-8038





Volume / Issue / page

Related articles

VOLUME 1 , ISSUE 1 (June 2016) > List of articles

Estimation Algorithm for Low Frequency Seismic Motions Based on Extended Semblance Function

Lianming Sun

Keywords : Spectral analysis, low frequency seismograms, semblance function, frequency domain.

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 1, Issue 1, Pages 0-0, DOI:

License : (CC BY-NC-ND 4.0)

Published Online: 01-April-2018



Monitoring low frequency and long period ground motions is very important for earthquake detection and alarm systems, and signal processing techniques help to investigate the mechanism of deep ground motions and earthquake occurrence by detecting effective seismic information from the seismograms. In this paper a frequency domain algorithm is presented to estimate the travel time difference of seismic waves with multi-path interferences caused by the refraction effect. The spectra of the seismograms are calculated through the fast algorithm, and the multi-path parameters as well as the difference of travel time between a reference position and the seismographic stations are given by an optimization algorithm in the frequency domain. The new approach can work under conditions of refraction interference, and improve the estimation performance by using an extended semblance function. Its effectiveness is demonstrated through some numerical examples, and it is shown that the proposed algorithm is applicable to the analysis of low frequency seismograms.

Content not available PDF Share



M. Kikuchi. Realtime Seismology, University of Tokyo Press, 2003


K. Obara. “Nonvolcanic deep tremor associated with subduction in southwest Japan,” Science, vol.269, pp.1679-1681, 2002.


H. Hirose and K. Obara.“Repeating short- and long-term slow slip events with deep tremor activity around the Bungo channel regions, southwest Japan,”Earth Planets Space, vol.57, pp.961-972, 2005.


Committee for Earthquake Prediction Studies, Seismological Society of Japan.The Science of Earthquake Prediction, University of Tokyo Process, 2007.


Y. Asano, K. Obara and Y. Ito. “Spatiotemporal distribution of very-low frequency earthquakes in Tokachi-oki near the junction of the Kuril and Japan trenches revealed by using array signal processing, ” Earth Planets Space, vol.60, pp.871-875, 2008.


N.S. Neidell and M.T.Taner.“Semblance and other coherency measures for multichannel,”Geophysics,vol.36, pp.482-497, 1971.


C. Shirakawa and T. Iwata.“Ground motion characteristics of South-East Kyoto Basin site using three dimensional small aperture seismic array at Uji Campus, Kyoto University,”Annuals of Disaster Prevention Research Institute, Kyoto University, no.50(B), pp.251-258, 2007.


H. Miura and S. Midorikawa.“Effects of 3-D deep underground structure on characteristics of rather long-period ground motion,” Earthquake, no.54, pp.381-395, 2001.


W. Zhu, L. Sun and X. Zhu.“Analysis of low frequency seismograms in frequency domain,”ICIC Express Letters, vol.5, no.9(A), pp.3249-3254, 2011.


L. Sun and A.Sano.“System identification and error analysis in frequency domain,”International Journal of Innovative Computing, Information and Control, vol.3, no.5, pp.1201-1218, 2007.


W. Zhu, L. Sun and X. Zhu.“Epicenter location via genetic algorithm for low frequency seismograms, ICIC Express Letters, vol.6 (to appear)


G. Jacovitti and G. Scarano. “Discrete time techniques for time delay estimation,” IEEE Trans. Signal Processing, vol.41, no.2, pp.525-533, 1993.