{"title":"Event-Triggered Distributed Fusion for Multirate Multisensor Systems Subject to Nonstationary Heavy-Tailed Noises","authors":"Xinyue Cao;Ling Zhao;Hongjiu Yang;Li Li","doi":"10.1109/JSEN.2024.3484162","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 23","pages":"39605-39616"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10736430/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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