Data-based sensitivity kernel in a highly reverberating cavity

Selda Yildiz*, Christian Marandet, Sandrine T. Rakotonarivo, Philippe Roux, William A. Kuperman

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Our goal is to acoustically localize medium inhomogeneities, (i.e., scatterers) in a very complex medium without having to resort to constructing an accurate propagation model. Instead, we use a data-based sensitivity kernel approach to characterize medium changes in this complex medium which, in this study, is a highly reverberating cavity. The efficacy of the method is confirmed in an experiment with a moving aggregate of ping-pong balls inside a fish tank of 5.6m-diameter and water depth of 1.05m in the ∼10KHz frequency regime; acoustic sources and receivers are on the periphery of the tank. Using a sensitivity kernel constructed from field data for scatterers at a sparse set of known positions, we demonstrate that we can localize other scatterers at unknown positions.

Original languageEnglish
Article number070068
JournalProceedings of Meetings on Acoustics
Publication statusPublished - 2013
Externally publishedYes
Event21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada
Duration: 2 Jun 20137 Jun 2013


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