Data-based sensitivity kernel in a highly reverberating cavity

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

doi:10.1121/1.4800577

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

University of California at San Diego

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English
Article number	070068
Journal	Proceedings of Meetings on Acoustics
Volume	19
DOIs	https://doi.org/10.1121/1.4800577
Publication status	Published - 2013
Externally published	Yes
Event	21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada Duration: 2 Jun 2013 → 7 Jun 2013

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10.1121/1.4800577

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title = "Data-based sensitivity kernel in a highly reverberating cavity",

abstract = "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.",

author = "Selda Yildiz and Christian Marandet and Rakotonarivo, \{Sandrine T.\} and Philippe Roux and Kuperman, \{William A.\}",

year = "2013",

doi = "10.1121/1.4800577",

language = "English",

volume = "19",

journal = "Proceedings of Meetings on Acoustics",

issn = "1939-800X",

publisher = "Acoustical Society of America",

note = "21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America ; Conference date: 02-06-2013 Through 07-06-2013",

}

TY - JOUR

T1 - Data-based sensitivity kernel in a highly reverberating cavity

AU - Yildiz, Selda

AU - Marandet, Christian

AU - Rakotonarivo, Sandrine T.

AU - Roux, Philippe

AU - Kuperman, William A.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84878965330

U2 - 10.1121/1.4800577

DO - 10.1121/1.4800577

M3 - Conference article

AN - SCOPUS:84878965330

SN - 1939-800X

VL - 19

JO - Proceedings of Meetings on Acoustics

JF - Proceedings of Meetings on Acoustics

M1 - 070068

T2 - 21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America

Y2 - 2 June 2013 through 7 June 2013

ER -

Data-based sensitivity kernel in a highly reverberating cavity

Abstract

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