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Factor graph based multi-source data fusion for wireless localization

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

Abstract

Multi-source fusion localization is an effective approach when a single source is unavailable or the positioning accuracy is unsatisfied, and it can take advantages of different location sources to achieve a better result. Data fusion is a process of merging different solutions and techniques with disparate types of information. In order to provide users with better location based services, this paper proposes a factor graph based multi-source data fusion algorithm for wireless localization. Different fusion sources are divided into multi-levels by adopting confidence level estimate algorithm. By using sum-product algorithm, the soft-information is calculated to complete the fusion process. Through some simulations, we can see that the proposed algorithm can improve the positioning accuracy greatly. At the same time, it has low complexity and a plug and play capability.

Original languageEnglish
Title of host publication2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398145
DOIs
StatePublished - 12 Sep 2016
Event2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 - Doha, Qatar
Duration: 3 Apr 20167 Apr 2016

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2016-September
ISSN (Print)1525-3511

Conference

Conference2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
Country/TerritoryQatar
CityDoha
Period3/04/167/04/16

Keywords

  • Data Fusion
  • Factor Graph
  • Location Based Services
  • Sum-product Algorithm

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