Markov property and ergodicity of the nonlinear filter

被引:15
作者
Bhatt, AG
Budhiraja, A
Karandikar, RL
机构
[1] Indian Stat Inst, Stat Math Unit, New Delhi 110016, India
[2] Univ N Carolina, Dept Stat, Chapel Hill, NC 27599 USA
关键词
nonlinear filtering; invariant measures; asymptotic stability; measure valued processes;
D O I
10.1137/S0363012999357707
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we rst prove, under quite general conditions, that the nonlinear filter and the pair (signal, filter) are Feller-Markov processes. The state space of the signal is allowed to be nonlocally compact and the observation function h can be unbounded. Our proofs, in contrast to those of Kunita [J. Multivariate Anal., 1 (1971), pp. 365-393; Spatial Stochastic Processes, Birkhauser, 1991, pp. 233-256] and Stettner [Stochastic Differential Equations, Springer-Verlag, 1989, pp. 279-292], do not depend upon the uniqueness of the solutions to the filtering equations. We then obtain conditions for existence and uniqueness of invariant measures for the nonlinear filter and the pair process. These results extend those of Kunita and Stettner, which hold for locally compact state space and bounded h, to our general framework. Finally we show that the recent results of Ocone and Pardoux [SIAM J. Control Optim., 34 (1996), pp. 226-243] on asymptotic stability of the nonlinear filter, which use the Kunita Stettner setup, hold for the general situation considered in this paper.
引用
收藏
页码:928 / 949
页数:22
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