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

Abstract

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.