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Model Based Information Fusion in Sensor Networks

Alriksson, Peter LU and Rantzer, Anders LU (2008) 17th IFAC World Congress, 2008
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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author
organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
17th IFAC World Congress, 2008
external identifiers
  • Scopus:79961019579
language
English
LU publication?
yes
id
b2d24a5f-5f9e-4813-92e5-a696471dff3a (old id 1440111)
date added to LUP
2009-07-14 15:06:04
date last changed
2017-01-01 08:15:31
@misc{b2d24a5f-5f9e-4813-92e5-a696471dff3a,
  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.},
  author       = {Alriksson, Peter and Rantzer, Anders},
  language     = {eng},
  title        = {Model Based Information Fusion in Sensor Networks},
  year         = {2008},
}