Cooperative shift estimation of target trajectory using clustered sensors
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
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.
Cluster, sensor network, target tracking, time-shift estimation
IdentifiersURN: urn:nbn:se:kth:diva-147735DOI: 10.1007/s11424-014-2191-0ISI: 000337045400001ScopusID: 2-s2.0-84927596614OAI: oai:DiVA.org:kth-147735DiVA: diva2:732816
QC 201407072014-07-072014-07-032014-07-07Bibliographically approved