Signal estimation with nonlinear uncertain observations using covariance information

DOI10.1080/00949650701597219zbMath1161.62063OpenAlexW2149641074WikidataQ59552408 ScholiaQ59552408MaRDI QIDQ3615055

Josefa Linares-Pérez, Raquel Caballero-Águila, Seiichi Nakamori, Aurora Hermoso-Carazo, José Domingo Jiménez-López

Publication date: 17 March 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650701597219

zbMATH Keywords

least-squares estimationuncertain observationsnonlinear observations

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20)

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Cites Work

• Linear recursive discrete-time estimators using covariance information under uncertain observations
• Recursive estimator for linear and nonlinear systems with uncertain observations
• Optimal control of LTI systems over unreliable communication links
• Linear estimation for discrete-time systems in the presence of time-correlated disturbances and uncertain observations
• Fixed-point smoothing with non-independent uncertainty using covariance information
• Linear smoothing for discrete-time systems in the presence of correlated disturbances and uncertain observations
• Kalman Filtering With Intermittent Observations
• A Crame/spl acute/r-Rao-type estimation lower bound for systems with measurement faults