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Cooperative shift estimation of target trajectory using clustered sensors
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-0177-1993
2014 (English)In: Journal of Systems Science and Complexity, ISSN 1009-6124, E-ISSN 1559-7067, Vol. 27, no 3, 413-429 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, a mathematical model for target tracking using nonlinear scalar range sensors is formulated first. A time-shift sensor scheduling strategy is addressed on the basis of a k-barrier coverage protocol and all the sensors are divided into two classes of clusters, active cluster, and submissive cluster, for energy-saving. Then two types of time-shift nonlinear filters are proposed for both active and submissive clusters to estimate the trajectory of the moving target with disturbed dynamics. The stochastic stability of the two filters is analyzed. Finally, some numerical simulations are given to demonstrate the effectiveness of the new filters with a comparison of EKF.

Place, publisher, year, edition, pages
2014. Vol. 27, no 3, 413-429 p.
Keyword [en]
Cluster, sensor network, target tracking, time-shift estimation
National Category
Other Mathematics
URN: urn:nbn:se:kth:diva-147735DOI: 10.1007/s11424-014-2191-0ISI: 000337045400001ScopusID: 2-s2.0-84927596614OAI: diva2:732816

QC 20140707

Available from: 2014-07-07 Created: 2014-07-03 Last updated: 2014-07-07Bibliographically approved

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Xiaoming, Hu
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