Title
Wave separation in ambient seismic noise using intrinsic coherence and polarization filtering
Abstract
This paper deals with passive ambient seismic noise processing. A new wave separation method is proposed when several polarized waves are recorded by a pair of multicomponent sensors. Although it is well known that the information given by the auto-covariance matrix at one sensor is not sufficient for estimating the mixing matrix, it is shown in this paper that with two multicomponent sensors, the identification of the mixing matrix can be completed. In addition to the mathematical proof and synthetic example, an application to a real geophysical data set is also presented. A previous analysis of these data revealed the presence of surface waves. The application of the proposed algorithm leads to the separation of Rayleigh and Love waves.
Year
DOI
Venue
2009
10.1016/j.sigpro.2008.09.008
Signal Processing
Keywords
Field
DocType
multicomponent sensor,wave separation,auto-covariance matrix,multicomponent sensors,paper deal,love wave,correlation,mathematical proof,polarization,proposed algorithm,new wave separation method,previous analysis,ambient seismic noise,singular value decomposition,real geophysical data set,passive ambient seismic noise,intrinsic coherence,surface wave,covariance matrix
Rayleigh wave,Love wave,Control theory,Ambient noise level,Surface wave,Polarization (waves),Seismic noise,Electronic engineering,Coherence (physics),Acoustics,Source separation,Mathematics
Journal
Volume
Issue
ISSN
89
4
Signal Processing
Citations 
PageRank 
References 
1
0.40
5
Authors
3
Name
Order
Citations
PageRank
Antoine Roueff1244.61
Philippe Roux210.73
Philippe Réfrégier315913.12