Acoustic Imaging in Four-layer Medium by Iterative Bayesian Focusing Algorithm

Qixin Guo, Liang Yu, Rui Wang, Ran Wang, Weikang Jiang, Wancheng Ge

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A layered medium is studied in this paper. The considered layered medium is divided into four layers in the vertical direction according to the variation of the sound speed, which is a constant or changes linearly in each layer. The sound speed does not change (or changes slowly) in the horizontal direction. The wave equation has no analytical solution owing to the irregular variation of the sound speed. In the forward model, the spectral element method is used for numerical simulations to get the numerical solution of the wave equation, which is implemented by performing a full-wave simulation in the time domain. The iterative Bayesian focusing algorithm is applied to implement acoustic imaging in the inverse problem. Finally, a numerical simulation is designed to validate the four-layer model and the acoustic imaging algorithm. The simulation results demonstrate that the iterative Bayesian focusing algorithm has accurate localization effects and reconstruction results in the four-layer model and its comparison with the conventional beamforming algorithm.

Original languageEnglish
Title of host publication2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages753-757
Number of pages5
ISBN (Electronic)9781665485890
DOIs
StatePublished - 2022
Externally publishedYes
Event5th International Conference on Information Communication and Signal Processing, ICICSP 2022 - Shenzhen, China
Duration: 26 Nov 202228 Nov 2022

Publication series

Name2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022

Conference

Conference5th International Conference on Information Communication and Signal Processing, ICICSP 2022
Country/TerritoryChina
CityShenzhen
Period26/11/2228/11/22

Keywords

  • acoustic imaging
  • Bayesian focusing
  • layered modeling
  • spectral element method

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