Model Based Information Fusion in Sensor Networks
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1440111
- author
- Alriksson, Peter LU and Rantzer, Anders LU
- organization
- publishing date
- 2008
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- 17th IFAC World Congress, 2008
- conference location
- Seoul, Korea, Democratic People's Republic of
- conference dates
- 2008-07-06 - 2008-07-11
- external identifiers
-
- scopus:79961019579
- language
- English
- LU publication?
- yes
- id
- b2d24a5f-5f9e-4813-92e5-a696471dff3a (old id 1440111)
- date added to LUP
- 2016-04-04 13:58:02
- date last changed
- 2024-01-28 08:31:09
@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}}, url = {{https://lup.lub.lu.se/search/files/6248305/8228896.pdf}}, year = {{2008}}, }