Numerical and experimental assessment of functional beamforming for source quantification

Valentin Baron (1, 2, 3) , Arthur Finez (1) , Barbara Nicolas (4)

1 MicrodB
2 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
3 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
4 Imagerie Ultrasonore

Functional Beamforming is an advanced sound source localisation method which improves both spatial resolution and dynamic range compared to conventional beamforming. While it is clear that localisation results are outperformed, uncertainty remains about quan-tification performances. This article evaluates the quality of the identified acoustic power as a function of the exponent parameter ν. Simulated test cases are set to evaluate the ro-bustness of the method against uncorrelated noise, propagation model errors and extended sources. Then experiments in a controlled environment are carried out to confirm the trends observed previously. Conclusions are that model errors are critical even for low ν which makes this method not suited for quantification studies. However the method is more robust against uncorrelated added noise.

Domaines: Traitement du signal et de l'image [eess.SP]; Acoustique [physics.class-ph]

Valentin Baron, Arthur Finez, Barbara Nicolas. Numerical and experimental assessment of functional beamforming for source quantification. BeBeC 2018 -7th Berlin Beamforming Conference, Mar 2018, Berlin, Germany. ⟨hal-01729300⟩