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

Authors:
Antoine Roueff;Philippe Roux;Philippe Réfrégier
Affiliations:
Aix-Marseille Université, 13013 Marseille, France and Ecole Centrale Marseille, 13013 Marseille, France and CNRS, Institut Fresnel, Campus de St Jérôme, 13013 Marseille, France;Laboratoire de Géophysique Interne et Tectonophysique, Maison des Géosciences Campus Univ., BP 53, 38041 Grenoble Cedex 9, France;Aix-Marseille Université, 13013 Marseille, France and Ecole Centrale Marseille, 13013 Marseille, France and CNRS, Institut Fresnel, Campus de St Jérôme, 13013 Marseille, France
Venue:
Signal Processing
Year:
2009

Citing 3
Cited 0

Independent component analysis, a new concept?

Signal Processing - Special issue on higher order statistics
Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing

Signal Processing
Vector-sensor array processing for electromagnetic sourcelocalization

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.08

Visualization

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.