This paper deals with the problem of estimating the state of a discrete-time linear stochastic dynamical system on the basis of data collected from multiple sensors subject to a limitation on the communication rate from the remote sensor units. More specifically, the attention is devoted to a centralized sensor network consisting of: (1) N remote nodes which collect measurements of the given system, compute state estimates at the full measurement rate and transmit them at a reduced communication rate; (2) a fusion node F that, based on received estimates, provides an estimate of the system state at the full rate. A measurement-independent strategy for deciding when transmitting estimates from each sensor to F will be considered. Sufficient conditions for the boundedness of the state covariance at node F will be given. Further, the possibility of determining a communication strategy with optimal performance in terms of minimum mean square estimation error will be investigated.

State estimation in a sensor network under bandwidth constraints / G. Battistelli; A. Benavoli; L. Chisci. - STAMPA. - (2009), pp. 207-221. [10.1007/978-3-642-03199-1_13]

State estimation in a sensor network under bandwidth constraints

BATTISTELLI, GIORGIO;CHISCI, LUIGI
2009

Abstract

This paper deals with the problem of estimating the state of a discrete-time linear stochastic dynamical system on the basis of data collected from multiple sensors subject to a limitation on the communication rate from the remote sensor units. More specifically, the attention is devoted to a centralized sensor network consisting of: (1) N remote nodes which collect measurements of the given system, compute state estimates at the full measurement rate and transmit them at a reduced communication rate; (2) a fusion node F that, based on received estimates, provides an estimate of the system state at the full rate. A measurement-independent strategy for deciding when transmitting estimates from each sensor to F will be considered. Sufficient conditions for the boundedness of the state covariance at node F will be given. Further, the possibility of determining a communication strategy with optimal performance in terms of minimum mean square estimation error will be investigated.
9783642031984
9783642260179
Modelling, estimation and control of networked control systems
207
221
G. Battistelli; A. Benavoli; L. Chisci
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/372484
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