Passive spatio-temporal inverse filter

Thomas Gallot , Stefan Catheline , Philippe Roux (1) , Michel Campillo (1)

1 ISTerre - Institut des Sciences de la Terre

Green's functions recovering from ambient noise require strong hypothesis, including isotropic distribution of the noise sources. This ideal distribution is not achieved in most of the experimental applications, yielding to bias in the Green's function reconstruction. To minimize this bias, a spatio-temporal inverse filter is proposed. In this study, an experimental active seismic dataset is used to compute a directive noise field. The method is then implemented on this controlled dataset. The results indicate that the passive inverse filter can efficiently compensate for the noise wavefield directivity by manipulating the spatio-temporal degrees of freedom of a complex wave field.

Mots clés: ambiant noise; seismology; wavefield directivity; inverse filter

Domaines: Acoustique [physics.class-ph]

Thomas Gallot, Stefan Catheline, Philippe Roux, Michel Campillo. Passive spatio-temporal inverse filter. Acoustics 2012, Apr 2012, Nantes, France. ⟨hal-00810596⟩