A simple asymptotically optimal filter over an infinite horizon

P. Chigansky*, R. Liptser, B. Z. Bobrovsky

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A filtering problem over an infinite horizon for a continuous time signal and discrete time observation in the presence of non-Gaussian white noise is considered. Conditions are presented, under which a nonlinear Kalman type filter with limiter is asymptotically optimal in the mean square sense for long time intervals given provided the sampling frequency is sufficiently high.

Original languageEnglish
Pages (from-to)93-112
Number of pages20
JournalJournal of Applied Mathematics and Stochastic Analysis
Issue number1
StatePublished - 2001


  • Asymptotic Optimality
  • Infinite Horizon
  • Kalman Filter
  • Limiter
  • Lower Error Bound
  • Non-Gaussian Noise


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