Comparison of distributed fusion filters for linear dynamic system with uncertainty

Ju Hong Yoon, Seung Hwan Bae, Vladimir Shin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a distributed fusion filtering problem for a linear discrete-time dynamic system with uncertainty is considered. All fusion filtering algorithms are based on fusion formulas which represent a weighted sum of the local Kalman estimates with matrix or scalar weights. The fusion weights are calculated by using four algorithms: convex combination, optimal fusion, covariance intersection, and median fusion. The comparison results of the fusion algorithms are discussed in terms of estimation accuracy and computation cost.

Original languageEnglish
Title of host publication2nd International Conference on Computer and Network Technology, ICCNT 2010
Pages367-371
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event2nd International Conference on Computer and Network Technology, ICCNT 2010 - Bangkok, Thailand
Duration: 23 Apr 201025 Apr 2010

Publication series

Name2nd International Conference on Computer and Network Technology, ICCNT 2010

Conference

Conference2nd International Conference on Computer and Network Technology, ICCNT 2010
Country/TerritoryThailand
CityBangkok
Period23/04/1025/04/10

Keywords

  • Distributed filtering
  • Fusion formula
  • Kalman filter
  • Multisensor system

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