Quantification and mitigation of the effect of resynchronization errors in ultrasound sensor network for passive imaging in elastic plates.

Autor:	Bouchakour O; Université Polytechnique Hauts-de-France, Université Polytechnique Hauts-de-France, Centre National de Recherche Scientifique, Université de Lille, Unité Mixte de Recherche 8520, Institut d'Electronique de Microélectronique et de Nanotechnologie, F-59313 Valenciennes, France., Moulin E; Université Polytechnique Hauts-de-France, Université Polytechnique Hauts-de-France, Centre National de Recherche Scientifique, Université de Lille, Unité Mixte de Recherche 8520, Institut d'Electronique de Microélectronique et de Nanotechnologie, F-59313 Valenciennes, France., Chehami L; Université Polytechnique Hauts-de-France, Université Polytechnique Hauts-de-France, Centre National de Recherche Scientifique, Université de Lille, Unité Mixte de Recherche 8520, Institut d'Electronique de Microélectronique et de Nanotechnologie, F-59313 Valenciennes, France., Smagin N; Université Polytechnique Hauts-de-France, Université Polytechnique Hauts-de-France, Centre National de Recherche Scientifique, Université de Lille, Unité Mixte de Recherche 8520, Institut d'Electronique de Microélectronique et de Nanotechnologie, F-59313 Valenciennes, France.
Jazyk:	angličtina
Zdroj:	The Journal of the Acoustical Society of America [J Acoust Soc Am] 2024 May 01; Vol. 155 (5), pp. 3283-3290.
DOI:	10.1121/10.0025986
Abstrakt:	The problem of signal desynchronization in passive imaging based on noise correlation for defect detection in elastic plates is investigated. Although a post-processing resynchronization process relying on the symmetry of noise correlation functions can be applied prior to the imaging algorithm, perfect synchronization might not be achieved experimentally. Effect of such residual synchronization errors on the defect detection performance is quantified as a function of their probability density function. A mathematical regularization process is then proposed to reduce the standard deviation of the resynchronization errors by a factor of N-1/N (N is the number of sensors), which results in a significant improvement in the detection performance. Finally, these theoretical results are validated through a simple flexural-wave propagation simulation. (© 2024 Acoustical Society of America.)
Databáze:	MEDLINE
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