期刊
NONLINEARITY
卷 35, 期 2, 页码 1061-1092出版社
IOP Publishing Ltd
DOI: 10.1088/1361-6544/ac4337
关键词
continuous time limit; ensemble Kalman Bucy filter; ensemble Kalman filter; ensemble square root filters
资金
- Deutsche Forschungsgemeinschaft (DFG) [SFB1294/1 - 318763901]
This paper provides a rigorous derivation of the ensemble Kalman-Bucy filter and the ensemble transform Kalman-Bucy filter in the case of nonlinear, unbounded model and observation operators. It also establishes convergence rates in terms of the discretisation step size. The paper simultaneously establishes the well-posedness and accuracy of both the continuous-time and the discrete-time filtering algorithms.
We provide a rigorous derivation of the ensemble Kalman-Bucy filter as well as the ensemble transform Kalman-Bucy filter in case of nonlinear, unbounded model and observation operators. We identify them as the continuous time limit of the discrete-time ensemble Kalman filter and the ensemble square root filters, respectively, together with concrete convergence rates in terms of the discretisation step size. Simultaneously, we establish well-posedness as well as accuracy of both the continuous-time and the discrete-time filtering algorithms.
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