{"title":"Fundamental limits in multisensor data fusion","authors":"F. Daum","doi":"10.1109/ICSYSE.1990.203160","DOIUrl":null,"url":null,"abstract":"A theoretical bound on the performance of multisensor data fusion is described. This theory can predict the best possible performance achievable with a given configuration of multiple sensors. These results are analogous to the Cramer-Rao bound in nonlinear estimation theory. The purpose of this theory is to understand limits of multisensor data fusion","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1990 IEEE International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1990.203160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A theoretical bound on the performance of multisensor data fusion is described. This theory can predict the best possible performance achievable with a given configuration of multiple sensors. These results are analogous to the Cramer-Rao bound in nonlinear estimation theory. The purpose of this theory is to understand limits of multisensor data fusion
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