{"title":"Distributed Computing Filters : Multisensor Marine Applications","authors":"D. Lainiotis, K. Plataniotis, C. Charalampous","doi":"10.1109/OCEANS.1992.612700","DOIUrl":null,"url":null,"abstract":"The distributed multisensor estimation problem is considered in this paper, and both the centralized and the de- centralized approach are discussed. The Kalman filter based approaches are compared with the Lainiotis filter based ap- proach, in terms of their computational efficiency and trans- mission requirements. The comparative evaluation shows that using the Lainiotis filter, both in its sequential and distributed form, orders of magnitude decrease in computational require- ments and processing time can be achieved.","PeriodicalId":158109,"journal":{"name":"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.1992.612700","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
The distributed multisensor estimation problem is considered in this paper, and both the centralized and the de- centralized approach are discussed. The Kalman filter based approaches are compared with the Lainiotis filter based ap- proach, in terms of their computational efficiency and trans- mission requirements. The comparative evaluation shows that using the Lainiotis filter, both in its sequential and distributed form, orders of magnitude decrease in computational require- ments and processing time can be achieved.