Nonlinear filtering for observations on a random vector field along a random path. Application to atmospheric turbulent velocities
ESAIM: Mathematical Modelling and Numerical Analysis , Special Issue on Probabilistic methods and their applications, Tome 44 (2010) no. 5, pp. 921-945

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To filter perturbed local measurements on a random medium, a dynamic model jointly with an observation transfer equation are needed. Some media given by PDE could have a local probabilistic representation by a lagrangian stochastic process with mean-field interactions. In this case, we define the acquisition process of locally homogeneous medium along a random path by a lagrangian Markov process conditioned to be in a domain following the path and conditioned to the observations. The nonlinear filtering for the mobile signal is therefore those of an acquisition process contaminated by random errors. This will provide a Feynman-Kac distribution flow for the conditional laws and an N particle approximation with a 𝒪 (1 N) asymptotic convergence. An application to nonlinear filtering for 3D atmospheric turbulent fluids will be described.

DOI : 10.1051/m2an/2010047
Classification : 82B31, 65C35, 65C05, 62M20, 60G57, 60J85
Keywords: nonlinear filtering, Feynman-Kac, stochastic model, turbulence
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     author = {Baehr, Christophe},
     title = {Nonlinear filtering for observations on a random vector field along a random path. {Application} to atmospheric turbulent velocities},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis },
     pages = {921--945},
     publisher = {EDP-Sciences},
     volume = {44},
     number = {5},
     year = {2010},
     doi = {10.1051/m2an/2010047},
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     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/m2an/2010047/}
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Baehr, Christophe. Nonlinear filtering for observations on a random vector field along a random path. Application to atmospheric turbulent velocities. ESAIM: Mathematical Modelling and Numerical Analysis , Special Issue on Probabilistic methods and their applications, Tome 44 (2010) no. 5, pp. 921-945. doi: 10.1051/m2an/2010047

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