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Model Based Information Fusion in Sensor Networks

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Author

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.

Publishing year

2008

Language

English

Document type

Conference paper

Topic

  • 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

Research group

  • LCCC