Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph

Weijie Yuan, Ganlin Hao, Nan Wu*, Hua Wang, Jingming Kuang

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Location awareness is now becoming vital requirement for many practical applications. In this paper, we consider a wireless network where there is one transmitter and multiple receivers and they aim to locate a passive target. Existing studies on passive localization assume receivers' positions are perfectly known. However, receivers' positions are generally inaccurate in actual scenarios. A factor graph based message passing algorithm is proposed to locate the passive target with inaccurate receivers. The nonlinear term in likelihood function is linearized to solve the intractable integrals. Accordingly, all messages on factor graph are obtained in Gaussian closed forms which reduce the computational complexity significantly. Simulation results show the proposed algorithm can not only estimate the target's position accurately but also determine the receivers' positions simultaneously with low complexity.

Original languageEnglish
Title of host publication2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages453-457
Number of pages5
ISBN (Electronic)9781479941469
DOIs
Publication statusPublished - 12 Jan 2015
Event2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China
Duration: 13 Oct 201415 Oct 2014

Publication series

Name2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

Conference

Conference2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Country/TerritoryChina
CityShanghai
Period13/10/1415/10/14

Keywords

  • Belief propagation
  • Factor graph
  • Gaussian message representation
  • Inaccurate receiver
  • Passive localization

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