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• W1489241924 abstract "In this paper, we devote to investigating the consensus-based unscented Kalman filtering problem for a certain kind of sensor networks with sensor saturations. The communication status among sensors is represented by a connected undirect graph. Saturation phenomenon exists both in the state of the system and individual sensors. Moreover, a distributed unscented Kalman filtering algorithm based on CI (consensus on information) consensus approach is developed to estimate the ture state of interest. Finally, the effectiveness of the proposed consensus-based unscented Kalman filtering scheme is validated through a simulation example." @default.
• W1489241924 created "2016-06-24" @default.
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• W1489241924 creator A5058710944 @default.
• W1489241924 date "2014-07-01" @default.
• W1489241924 modified "2023-09-27" @default.
• W1489241924 title "Consensus-based unscented Kalman filter for sensor networks with sensor saturations" @default.
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• W1489241924 doi "https://doi.org/10.1109/icmc.2014.7231747" @default.
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