dc.contributor.authorShi, Ling
dc.contributor.authorXie, Lihua
dc.identifier.citationShi, L., & Xie, L., (2012). Optimal sensor power scheduling for state estimation of Gauss–Markov systems over a packet-dropping network. IEEE transactions on signal processing, 60(5), 2701-2705.
dc.description.abstractWe consider sensor power scheduling for estimating the state of a general high-order Gauss-Markov system. A sensor decides whether to use a high or low transmission power to communicate its local state estimate or raw measurement data with a remote estimator over a packet-dropping network. We construct the optimal sensor power schedule which minimizes the expected terminal estimation error covariance at the remote estimator under the constraint that the high transmission power can only be used m <; T + 1 times, given the time-horizon from k = 0 to k = T. We also discuss how to extend the result to cases involving multiple power levels scheduling. Simulation examples are the provided to demonstrate the results.en_US
dc.relation.ispartofseriesIEEE transactions on signal processingen_US
dc.rights© 2012 IEEEen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleOptimal sensor power scheduling for state estimation of Gauss–Markov systems over a packet-dropping networken_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US

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