Multicomponent Seismo-acoustic Surface Waves Beamforming For Undersea Buried Object Detection

Cyril Kotenkoff (1) , Jean-Louis Lacoume (1) , Jerome I. Mars (1)

1 LIS - Laboratoire des images et des signaux

A beamforming method adapted to Stoneley-Scholte waves is presented, in the context of buried objects detection in the seabed. All the waves particularities are exploited in a wideband multicomponent array processing: velocity, dispersion and polarization. These propagation features must be estimated. The incident wave is used for this purpose. Then a signal model is de_ned according to Stoneley-Scholte wave's propagation, in order to derived optimal and suboptimal receptors. The localization simulations show a good localization behavior for high Signal to Noise Ratios: the performances are close to the asymptotic estimation bounds. For high noise levels, the detection performances depends on the noise spatial coherence. Detection is possible for Signal to Noise Ratios as low as -20dB. Lastly, simulations with Finite Difference signals validate the model and demonstrate that four components are useful in the beamforming.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Cyril Kotenkoff, Jean-Louis Lacoume, Jerome I. Mars. Multicomponent Seismo-acoustic Surface Waves Beamforming For Undersea Buried Object Detection. IEEE OCEANS 2005, Jun 2005, BREST, France. ⟨hal-00376912⟩