Journal of Jilin University Science Edition ›› 2022, Vol. 60 ›› Issue (3): 729-733.
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YIN Weishi, YIN Yunwen, MENG Pinchao
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Abstract: Bayesian method was used to simultaneously reconstruct inhomogeneous medium and embedded sound-soft obstacle. Firstly, we parameterized inhomogeneous medium and embedded obstacles, and gave a prior information of parameters. Secondly, we used Markov chain Monte Carlo (MCMC) method and a prior information of parameters to solve a posteriori information of parameters. Finally, the feasibility and effectiveness of Bayesian method were verified by some numerical examples.
Key words: inverse scattering problem, inhomogeneous medium, embedded obstacle, Bayesian method
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YIN Weishi, YIN Yunwen, MENG Pinchao. Bayesian Method for Inverse Obstacle Scattering inside Inhomogeneous Medium[J].Journal of Jilin University Science Edition, 2022, 60(3): 729-733.
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http://xuebao.jlu.edu.cn/lxb/EN/Y2022/V60/I3/729
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