{"title":"Data fusion by optimal sensor switching","authors":"E. Skafidas, R. Evans, A. Logothetis","doi":"10.1109/ADFS.1996.581091","DOIUrl":null,"url":null,"abstract":"In this paper we consider the problem of selecting the optimal measurement sequence from two or more sensors given communication bandwidth limitations. In particular the constraints are such that only one sensor may be used at any one time. Our aim is to switch these sensors to obtain optimal (mean square error sense) estimates of the state of a linear continuous time Gauss-Markov system.","PeriodicalId":254509,"journal":{"name":"Proceeding of 1st Australian Data Fusion Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of 1st Australian Data Fusion Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADFS.1996.581091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper we consider the problem of selecting the optimal measurement sequence from two or more sensors given communication bandwidth limitations. In particular the constraints are such that only one sensor may be used at any one time. Our aim is to switch these sensors to obtain optimal (mean square error sense) estimates of the state of a linear continuous time Gauss-Markov system.
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