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• W1485459259 abstract "In this paper a novel distributed algorithm for blind macro calibration in sensor networks based on output synchronization is proposed. The algorithm is formulated as a set of gradient-type recursions for estimating parameters of sensor calibration functions, starting from local criteria dened as weighted sums of mean square dierences between the outputs of neighboring sensors. It is proved, on the basis of an originally developed methodology for treating higher-order consensus (or output synchronization) schemes, that the algorithm achieves asymptotic agreement for sensor gains and osets, in the mean square sense and with probability one. In the case of additive measurement noise, additive inter-agent communication noise, and communication outages, a modication of the original algorithm based on instrumental variables is proposed. It is proved using stochastic approximation arguments that the modied" @default.
• W1485459259 created "2016-06-24" @default.
• W1485459259 creator A5018863930 @default.
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• W1485459259 date "2013-07-26" @default.
• W1485459259 modified "2023-10-01" @default.
• W1485459259 title "Distributed Macro Calibration via Output Synchronization in Lossy Sensor Networks." @default.
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• W1485459259 hasPublicationYear "2013" @default.
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