Stability of the discrete time filter in terms of the tails of noise distributions
ESAIM. Proceedings, Tome 19 (2007), pp. 73-78
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Recently, it has been pointed out by several authors that the uniform convergence of the stochastic discrete time filter approximations, such as particle filters, is closely related to the stability of the exact filter. This work provides easily verifiable conditions on the signal and observation model that ensure a certain level of stability for the exact filter. Essentially, the conditions are imposed on the tails of the signal and observation noise distributions. For sufficiently light tailed observation noise, the filter is shown to be stable.
@article{EP_2007_19_a10,
author = {Kari Heine},
title = {Stability of the discrete time filter in terms of the tails of noise distributions},
journal = {ESAIM. Proceedings},
pages = {73--78},
year = {2007},
volume = {19},
doi = {10.1051/proc:071910},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1051/proc:071910/}
}
Kari Heine. Stability of the discrete time filter in terms of the tails of noise distributions. ESAIM. Proceedings, Tome 19 (2007), pp. 73-78. doi: 10.1051/proc:071910
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