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

• Published in: IEEE sensors journal Vol. 24; no. 23; pp. 39605 - 39616
• Main Authors: Cao, Xinyue, Zhao, Ling, Yang, Hongjiu, Li, Li
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Continuous time systems; Distributed fusion; Event detection; event-trigger mechanism; Heavily-tailed distribution; heavy-tailed noise; multirate multisensor; Multisensor systems; Noise; packet dropout; Sensor systems; Sensors; Synchronism; Synchronization; Tracking; Tracking systems; Wireless networks
• ISSN: 1530-437X; 1558-1748
• DOI: 10.1109/JSEN.2024.3484162

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.