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Asynchronous Distributed Blind Calibration of Sensor Networks Under Noisy Measurements
Univ Belgrade, Sch Elect Engn, Innovat Ctr, Belgrade, Serbia..
Univ Belgrade, Sch Elect Engn, Belgrade, Serbia.;Vlatacom Inst, Belgrade, Serbia..
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2018 (English)In: IEEE Transactions on Big Data, ISSN 2325-5870, E-ISSN 2168-6750, Vol. 5, no 1, p. 571-582Article in journal (Refereed) Published
Abstract [en]

In this paper, a novel distributed algorithm for asynchronous blind macro-calibration in sensor networks with noisy measurements is proposed. The algorithm is formulated as a set of instrumental variable type recursions for estimating parameters of sensor calibration functions. It is proved using asynchronous stochastic approximation arguments and properties of block-diagonally dominant matrices that the algorithm achieves asymptotic consensus for sensor gains and offsets in the mean square sense and with probability one. Recommendations for system design in terms of the choice of a priori tunable weights are provided. Special attention is paid to the situation when a subset of sensors in the network (reference sensors) remains with fixed characteristics. In the case of only one reference sensor, convergence of the remaining sensors to its characteristics is proved. In the case of more than one reference sensor, it is proved that the calibration parameters converge to points that depend only on the characteristics of the reference sensors and the network properties.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 5, no 1, p. 571-582
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-225732DOI: 10.1109/TCNS.2016.2633788ISI: 000427871900050Scopus ID: 2-s2.0-85044502030OAI: oai:DiVA.org:kth-225732DiVA, id: diva2:1196562
Funder
Swedish Research CouncilKnut and Alice Wallenberg Foundation
Note

QC 20180410

Available from: 2018-04-10 Created: 2018-04-10 Last updated: 2018-04-10Bibliographically approved

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Johansson, Karl H.

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