Bayesian approach for limited-aperture inverse acoustic scattering with total variation prior
نویسندگان
چکیده
In this work, we apply the Bayesian approach for acoustic scattering problem to reconstruct shape of a sound-soft obstacle using limited-aperture far-field measure data. A novel total variation prior scheme is developed parameterization. It imposed on Fourier coefficients parameterization not itself. Using prior, some less smooth objects can be reconstructed. We also investigate well-posedness in sense Hellinger distance, Wasserstein distance and Kullback–Leibler divergence. Extensive numerical tests are provided illustrate performance.
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ژورنال
عنوان ژورنال: Applicable Analysis
سال: 2022
ISSN: ['1026-7360', '1563-504X', '0003-6811']
DOI: https://doi.org/10.1080/00036811.2022.2116014