{"title":"Application of reduced state estimation to multisensor fusion with out-of-sequence measurements","authors":"Frank, Reifler, Lockheed Martin","doi":"10.1109/NRC.2004.1316405","DOIUrl":null,"url":null,"abstract":"A filtering application of processing multisensor measurements with delays is considered. Because of delays, measurements fed by geographically dispersed sensors to a processing site may arrive out of time sequence. Unlike smoothing or filtering, optimal processing of an out-of-sequence measurement is not a standard problem in filtering theory for which a definitive approach has yet to be developed. An optimal reduced state estimator, derived in previous work, is applied to this problem. A simulation example of multisensor fusion is presented, in which one sensor feeds highly accurate, but delayed, measurements to be fused with a second sensor's less accurate measurements having no delay. We demonstrate a uniform improvement in performance for this algorithm over two traditional approaches.","PeriodicalId":268965,"journal":{"name":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2004.1316405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A filtering application of processing multisensor measurements with delays is considered. Because of delays, measurements fed by geographically dispersed sensors to a processing site may arrive out of time sequence. Unlike smoothing or filtering, optimal processing of an out-of-sequence measurement is not a standard problem in filtering theory for which a definitive approach has yet to be developed. An optimal reduced state estimator, derived in previous work, is applied to this problem. A simulation example of multisensor fusion is presented, in which one sensor feeds highly accurate, but delayed, measurements to be fused with a second sensor's less accurate measurements having no delay. We demonstrate a uniform improvement in performance for this algorithm over two traditional approaches.