Event-Triggered Distributed Fusion for Multirate Multisensor Systems Subject to Nonstationary Heavy-Tailed Noises

In this article, event-triggered distributed fusion is developed for a nonuniform multirate multisensor system with packets dropout and nonstationary heavy-tailed noises. A synchronization method is designed to facilitate estimation by transforming the nonuniform multirate multisensor system into a single-rate multisensor system. An event-triggered local estimator is proposed to obtain local estimates considering a dynamic event-triggered mechanism, nonstationary heavy-tailed noises, and packets dropout. An event-triggered distributed fusion algorithm is presented for accurate fusion estimation under reducing computational complexity. Simulation results are given to show the availability of the event-triggered distributed fusion using a single-target tracking system.