Stability of nonlinear filters in nonmixing case

Details Stability of nonlinear filters in nonmixing case Stability of nonlinear filters in nonmixing case

2003-04-04

arxiv.org/abs/math/0304056v2

Annals of Applied Probability 2004, Vol. 14, No. 4, 2038-2056

Mathematics

Probability

Published at http://dx.doi.org/10.1214/105051604000000873 in the Annals of Applied Probability (http://www.imstat.org/aap/) by

Scientific paper

10.1214/105051604000000873

The nonlinear filtering equation is said to be stable if it ``forgets'' the initial condition. It is known that the filter might be unstable even if the signal is an ergodic Markov chain. In general, the filtering stability requires stronger signal ergodicity provided by the, so called, mixing condition. The latter is formulated in terms of the transition probability density of the signal. The most restrictive requirement of the mixing condition is the uniform positiveness of this density. We show that it might be relaxed regardless of an observation process structure.

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