Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/920829
- Title
- Stability of state estimation over sensor networks with Markovian fading channels
- Author/Creator
-
Quevedo, Daniel E.;
Ahlén, Anders;
Johansson, Karl H.
- Description
- Stochastic stability for centralized Kalman filtering over a wireless sensor network with correlated fading channels is studied. On their route to the gateway, sensor packets, possibly aggregated with measurements from several nodes, may be dropped because of fading links. By assuming the network states to be Markovian, we establish sufficient conditions that ensure the Kalman filter to be exponentially bounded in norm. In the one sensor case, this new stability condition is shown to include previous results obtained in the literature as special cases. The results also hold when applying power control, where the transmission power of each node is a nonlinear mapping of the network state and the channel gains.
- Relation
- 18th International Federation of Automatic Control (IFAC) World Congress. Proceedings of the 18th World Congress: The International Federation of Automatic Control (Milano, Italy 28 August - 2 September, 2011) p. 12451-12456
- Publisher Link
- http://dx.doi.org/10.3182/20110828-6-IT-1002.02712
- Date
- 2011
- Publisher
- International Federation of Automatic Control (IFAC)
- Keyword(s)
-
sensor networks;
state estimation;
stochastic stability;
packet dropouts;
Gilbert-Elliot model;
fading communication channel
- Resource Type
- conference paper
- Identifier
- http://hdl.handle.net/1959.13/920829
- Identifier
- ISBN:9783902661937
- Identifier
- ISSN:1474-6670
- Language
- eng
- Reviewed
-
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