A new fusion formula and its application to continuous-time linear systems with multisensor environment

DOI10.1016/j.csda.2006.11.031zbMath1452.62123OpenAlexW2020165437MaRDI QIDQ1020886

Vladimir Shin, Kiseon Kim, Georgy L. Shevlyakov

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.11.031

zbMATH Keywords

Kalman filterdata fusionmean-square errormultisensor

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Filtering in stochastic control theory (93E11)

Related Items (8)

Estimation fusion of nonlinear cost functions with application to multisensory Kalman filtering ⋮ Improved distributed particle filters for tracking in a wireless sensor network ⋮ Derivation of centralized and distributed filters using covariance information ⋮ Sequential covariance intersection fusion Kalman filter ⋮ Multisensor estimation fusion of nonlinear cost functions in mixed continuous-discrete stochastic systems ⋮ Two fusion predictors for continuous-time linear systems with different types of observations ⋮ Distributed and centralized fusion estimation from multiple sensors with Markovian delays ⋮ Editorial: 2nd special issue on statistical signal extraction and filtering

Cites Work

• Decentralized structures for parallel Kalman filtering
• The optimality for the distributed Kalman filtering fusion with feedback
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