Ensemble Kalman filter is not stable enough and depends too much on the set of initial values when processing the inverse problem.In this paper,ensemble Kalman filter algorithm and regulariza-tion idea are combined and applied to the acoustic inverse scattering problem.The regularization idea is introduced into the frame of ensemble Kalman filter,the specific calculation steps of filtering process are given based on maximum a posteriori estimate,and the numerical experiment is carried out.The numerical results show that the regularized ensemble Kalman filter is superior to the tradi-tional ensemble Kalman filter in terms of filtering accuracy and stability in dealing with acoustic in-verse scattering reconstruction.
NETL
NSTL
万方数据
