Distributed Blind Calibration in Lossy Sensor Networks via Output Synchronization
2015 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 60, no 12, 3257-3262 p.Article in journal (Refereed) Published
A novel distributed algorithm for blind macrocalibration of large sensor networks is introduced. The algorithm is in the form of a system of gradient-type recursions for estimating parameters of local sensor calibration functions. The method does not require any fusion center. The convergence analysis is based on diagonal dominance of the dynamical systems with block matrices. It is proved that the asymptotic consensus is achieved for all the equivalent sensor gains and offsets (in the mean square sense and with probability one) in lossy sensor networks with possible communication outages and additive communication noise. An illustrative simulation example is provided.
Place, publisher, year, edition, pages
IEEE Press, 2015. Vol. 60, no 12, 3257-3262 p.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-165966DOI: 10.1109/TAC.2015.2426272ISI: 000367284600010ScopusID: 2-s2.0-84960877204OAI: oai:DiVA.org:kth-165966DiVA: diva2:809215
FunderKnut and Alice Wallenberg FoundationSwedish Research Council
QC 201602092015-04-302015-04-302016-02-09Bibliographically approved