An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information

Zhiliang Deng; Xiaomei Yang

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arXiv · 1907.12187

An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information

Zhiliang Deng·Xiaomei Yang

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Abstract

The spatial dependent unknown acoustic source is reconstructed according noisy multiple frequency data on a remote closed surface. Assume that the unknown function is supported on a bounded domain. To determine the support, we present a statistical inversion algorithm, which combines the ensemble Kalman filter approach with level set technique. Several numerical examples show that the proposed method give good numerical reconstruction.

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Zhiliang Deng, Xiaomei Yang. 2019-07-29. An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information. https://arxiv.org/abs/1907.12187

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