Cramér-Rao lower bound in nonlinear filtering problems under noises and measurement errors dependent on estimated parameters
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Publication:278895
DOI10.1134/S0005117916010057zbMath1338.93379OpenAlexW2337349261MaRDI QIDQ278895
O. A. Stepanov, Valeri A. Vasil'ev
Publication date: 27 April 2016
Published in: Automation and Remote Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0005117916010057
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)
Cites Work
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- Error of calculating the optimal Bayesian estimate using the Monte Carlo method in nonlinear problems
- Application of the Rao-Cramer inequality in problems of nonlinear estimation
- A omparison of lower bounds of accuracy in problems of nonlinear estimation
- Sequential Monte Carlo Methods in Practice
- A cramér-rao bound for multidimensional discrete-time dynamical systems
- Filtering, predictive, and smoothing Cramér-Rao bounds for discrete-time nonlinear dynamic systems
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