Time domain localization technique with sparsity constraint for imaging acoustic sources

Type de document

Études primaires

Année de publication

2017

Langue

Anglais

Titre de la revue

Mechanical Systems and Signal Processing

Première page

85

Dernière page

93

Résumé

This paper addresses source localization technique in time domain for broadband acoustic sources. The objective is to accurately and quickly detect the position and amplitude of noise sources in workplaces in order to propose adequate noise control options and prevent workers hearing loss or safety risk. First, the generalized cross correlation associated with a spherical microphone array is used to generate an initial noise source map. Then a linear inverse problem is defined to improve this initial map. Commonly, the linear inverse problem is solved with an -regularization. In this study, two sparsity constraints are used to solve the inverse problem, the orthogonal matching pursuit and the truncated Newton interior-point method. Synthetic data are used to highlight the performances of the technique. High resolution imaging is achieved for various acoustic sources configurations. Moreover, the amplitudes of the acoustic sources are correctly estimated. A comparison of computation times shows that the technique is compatible with quasi real-time generation of noise source maps. Finally, the technique is tested with real data.

Mots-clés

Acoustique, Acoustics, Mesure du bruit, Noise measurement, Microphone, Niveau de bruit, Noise level

Numéro de projet IRSST

2015-0075

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