An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information
Numerical Analysis
2019-07-30 v1 Numerical Analysis
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.
Cite
@article{arxiv.1907.12187,
title = {An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information},
author = {Zhiliang Deng and Xiaomei Yang},
journal= {arXiv preprint arXiv:1907.12187},
year = {2019}
}