Bayesian Method for Inverse Scattering Problem of Interior Cavity with Phaseless Data

Autor:	Wenke Guo, Yujie Wang, Enxi Zheng
Rok vydání:	2023
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2470:012007
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2470/1/012007
Popis:	This paper is concerned with the inverse acoustic scattering problem of a sound soft cavity based on phaseless near-field data. By combining the reference circle technique with the Bayesian method, this paper presents a numerical algorithm to retrieve the shape of the interior cavity from phaseless data. In this paper, the well-posedness of the Bayesian method is discussed. The posterior distribution of the shape parameters is obtained by DRAM algorithm and the reconstruction of the cavity boundary is acquired by taking the average value of the posterior distribution.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bc5702689172ed282f2ad533771955db https://doi.org/10.1088/1742-6596/2470/1/012007 Zobrazit plný text záznamu