Linear filtering with Ornstein-Ulhenbeck process as noise
نویسندگان
چکیده
منابع مشابه
On Filtering with Ornstein-Uhlenbeck Process as Noise
We consider the nonlinear filtering model with Ornstein-Uhlenbeck process as noise and obtain an analogue of the Bayes’ formula for the filter. For this we need to consider a modified model, where the instaneteneous effect h(Xt) of the signal in the usual model is replaced by ξ t = α ∫ t (t− 1 α )∨0 h(Xu) du, (where α is a large parameter). This means that there is a lingering effect of the sig...
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This is a companion paper of Crisan et el [4]. In this article, we study a few classes of solvable models of the stochastic filtering problems with Ornstein-Uhlenbeck noise: Firstly, we study the singular linear filter with OU noise. Secondly, for nonsingular linear filtering with OU noise, we consider the limit to the classical Kalman-Bucy filter as the OU process converges to the Brownian mot...
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Also, a process {Yt : t ≥ 0} is said to have independent increments if, for all t0 < t1 < . . . < tn, the n random variables Yt1 − Yt0 , Yt2 − Yt1 , ..., Ytn − Ytn−1 are independent. This condition implies that {Yt : t ≥ 0} is Markovian, but not conversely. The increments are further said to be stationary if, for any t > s and h > 0, the distribution of Yt+h− Ys+h is the same as the distributio...
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ژورنال
عنوان ژورنال: Sadhana
سال: 2006
ISSN: 0256-2499,0973-7677
DOI: 10.1007/bf02719778