Acoustic source localization in non-homogenous plates

Shenxin Yin, Zhiwen Cui, Tribikram Kundu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a nonhomogeneous specimen, if the acoustic source and receiving sensors are located in different media then the acoustic source localization becomes very difficult. In this paper, a recently developed source localization technique is extended to non-homogeneous plates by appropriately considering and modeling the refraction phenomenon. The modified technique is applied to two-layered structure. The proposed new technique gives a relatively simple way to localize the acoustic source without the need to solve a system of nonlinear equations, and thus it avoids the problem of multiplicity, converging to local minima instead of global minimum and giving wrong solution. The proposed technique works for both isotropic and anisotropic structures. The finite element simulation shows that this modified technique considering refraction at material interfaces can localize the acoustic source better than when this modification is not considered.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems XIII
EditorsPaul Fromme, Zhongqing Su
PublisherSPIE
ISBN (Electronic)9781510625990
DOIs
StatePublished - 2019
EventHealth Monitoring of Structural and Biological Systems XIII 2019 - Denver, United States
Duration: Mar 4 2019Mar 7 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10972
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceHealth Monitoring of Structural and Biological Systems XIII 2019
Country/TerritoryUnited States
CityDenver
Period3/4/193/7/19

Keywords

  • Multilayered media
  • Refraction
  • Source localization
  • Time difference of arrival

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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