Model Based Information Fusion in Sensor Networks

Research output: Contribution to conferencePaper, not in proceeding

Abstract

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.

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Subject classification (UKÄ) – MANDATORY

  • Control Engineering
Original languageEnglish
Publication statusPublished - 2008
Publication categoryResearch
Peer-reviewedYes
Event17th IFAC World Congress, 2008 - Seoul, Korea, Seoul, Korea, Democratic People's Republic of
Duration: 2008 Jul 62008 Jul 11
Conference number: 17

Conference

Conference17th IFAC World Congress, 2008
CountryKorea, Democratic People's Republic of
CitySeoul
Period2008/07/062008/07/11

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