Simulation on large scale of acoustic signals for array processing

Gerard Llort Pujol (1) , Christophe Sintes (1, 2) , Thierry Chonavel (2, 3) , Didier Gueriot (1, 4) , René Garello (1, 2)

1 ITI - Département Image et Traitement Information
2 Lab-STICC_TB_CID_TOMS
3 SC - Département Signal et Communications
4 Lab-STICC_TB_CID_SFIIS

Due to operational constraints for underwater data acquisition, simulating realistic sonar data, like images, swath bathymetry profiles or interferometric signals, is crucial for tuning detection and classification algorithms according to sensors settings, sea-bottom nature and topography. Moreover, the robustness of any performance estimation or prediction can be greatly enhanced, as soon as such a simulation tool provides a modular and flexible underwater world representation (multiple sensors, environments and acquisition conditions). For signal and array processing, it is essential not only to generate the signal energy backscattered by a resolution cell, but also to produce a phase information that conveys its theoretical statistical properties. To this end, this paper proposes a Brownian motion-based approach to generate complex Gaussian signals from the contribution of a set of extended single scatterers inside a resolution cell. The resulting process preserves the conservation of energy when integrating on surfaces, as well as the decorrelation between different areas of the sea bottom, and the right interference between two sensors for interferometric applications.

Mots clés: Sonar images; Sea bottom simulation; Brownian sheet

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

Gerard Llort Pujol, Christophe Sintes, Thierry Chonavel, Didier Gueriot, René Garello. Simulation on large scale of acoustic signals for array processing. OCEAN 2010, May 2010, Sydney, Australie. ⟨hal-00488717⟩