Fault Reconstruction and State Estimator Design for Distributed Sensor Networks in Multitarget Tracking

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

36 Scopus Citations
View graph of relations


Related Research Unit(s)


Original languageEnglish
Article number7131526
Pages (from-to)7091-7102
Journal / PublicationIEEE Transactions on Industrial Electronics
Issue number11
Online published23 Jun 2015
Publication statusPublished - Nov 2015


This paper presents two sets of estimator designs for distributed sensor networks in multitarget tracking under signal transmission faults due to the uncertain environments. A two-target tracking sensor network model is then established. Based on the tracking error systems, new augmented systems are proposed. It is proved that, using these systems, one can construct two different sets of estimators. The first estimation approach is to construct a fault estimator for the signal transmission faults occurred in the process of the two-target tracking in distributed sensor networks. The second estimation approach is to design a state/fault estimator. Alternatively, the second approach is proposed to design an estimator for both fault and state simultaneously in sensor networks tracking. Furthermore, the work can be extended to multitarget tracking problems in a more general setting. Finally, two application examples are used to illustrate the effectiveness of the theoretical results.

Research Area(s)

  • distributed sensor networks, Fault estimator, multi-targets tracking, signal transmission