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Wave separation in ambient seismic noise using intrinsic coherence and polarization filtering

Antoine Roueff 1, 2, 3 Philippe Roux 4 Philippe Réfrégier 1, 2, 3
1 Université Paul Cézanne - Aix-Marseille 3
2 ECM - École Centrale de Marseille
3 FRESNEL - Institut FRESNEL
4 LGIT - Laboratoire de Géophysique Interne et Tectonophysique
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.
Mots-clés : Wave separation Multicomponent sensors Polarization Correlation Singular value decomposition Ambient seismic noise
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Journal articles
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https://hal-insu.archives-ouvertes.fr/insu-00372118
Contributor : Pascale Talour <>
Submitted on : Tuesday, March 31, 2009 - 12:34:09 PM
Last modification on : Thursday, November 19, 2020 - 3:54:28 PM

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Antoine Roueff, Philippe Roux, Philippe Réfrégier. Wave separation in ambient seismic noise using intrinsic coherence and polarization filtering. Signal Processing, Elsevier, 2009, 89 (4), pp.410 à 421. ⟨10.1016/j.sigpro.2008.09.008⟩. ⟨insu-00372118⟩

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