State Estimation Over Sensor Networks With Correlated Wireless Fading Channels
2013 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 58, no 3, 581-593 p.Article in journal (Refereed) Published
Stochastic stability for centralized time-varying 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. To study this situation, we introduce a network state process, which describes a finite set of configurations of the radio environment. The network state characterizes the channel gain distributions of the links, which are allowed to be correlated between each other. Temporal correlations of channel gains are modeled by allowing the network state process to form a (semi-)Markov chain. We establish sufficient conditions that ensure the Kalman filter to be exponentially bounded. 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 using power and bit-rate control policies, where the transmission power and bit-rate of each node are nonlinear mapping of the network state and channel gains.
Place, publisher, year, edition, pages
IEEE Press, 2013. Vol. 58, no 3, 581-593 p.
Sensor networks, Kalman filtering, Packet drops, stability.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-111440DOI: 10.1109/TAC.2012.2212515ISI: 000316806400003ScopusID: 2-s2.0-84874637788OAI: oai:DiVA.org:kth-111440DiVA: diva2:586302
QC 201301142013-01-142013-01-112013-05-08Bibliographically approved