Distributed filtering over networks based on diffusion strategy

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6 Scopus citations

Abstract

This paper studies and formulates the problem of distributed filtering with a diffusion strategy for state estimation of a dynamic system by using observations from sensors in a network. The sensor-nodes have estimation ability and work in a collaborative manner. The information transmission across the network abides by the diffusion strategy that each node communicates only with its neighbors. First, we propose a cost function for a trade-off between accuracy and consensus. Then, we derive our algorithm based on this cost and analyze its mean-square performance. Illustrative numerical examples are provided to verify the good performance of our method.

Original languageEnglish
Title of host publication20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996452700
DOIs
StatePublished - 11 Aug 2017
Externally publishedYes
Event20th International Conference on Information Fusion, Fusion 2017 - Xi'an, China
Duration: 10 Jul 201713 Jul 2017

Publication series

Name20th International Conference on Information Fusion, Fusion 2017 - Proceedings

Conference

Conference20th International Conference on Information Fusion, Fusion 2017
Country/TerritoryChina
CityXi'an
Period10/07/1713/07/17

Keywords

  • consensus
  • diffusion strategy
  • dynamic systems
  • estimation fusion
  • sensor networks

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