Model Based Information Fusion in Sensor Networks
Författare
Summary, in English
In this paper, a model based sensor fusion algorithm for sensor networks is presented. The algorithm, referred to as distributed Kalman filtering is based on a previously presented algorithm with the same name. The weight selection process has been improved yielding performance improvements of several times for the examples studied. Also, solutions to both optimization problems involved in the iterative off-line weight selection process are given as closed form expressions. The algorithm is also demonstrated on a typical signal tracking application.
Avdelning/ar
Publiceringsår
2008
Språk
Engelska
Fulltext
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Dokumenttyp
Konferensbidrag
Ämne
- Control Engineering
Conference name
17th IFAC World Congress, 2008
Conference date
2008-07-06 - 2008-07-11
Conference place
Seoul, Korea, Democratic People's Republic of
Status
Published
Forskningsgrupp
- LCCC