Factor graph and damped expectation propagation based passive localization

Weijie YUAN, Nan WU*, Chengqi MA, Hua WANG, Jingming KUANG

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

The location awareness of a 'passive' target has drawn much attention in recent years. Several papers have investigated passive localization in different scenarios. In this paper, we build a factor graph framework and show that the factor graph can be modified easily for different passive localization problems. Then the beliefs of unknown variables are obtained via message passing algorithms. To reduce the huge complexity of nonparametric message passing, we propose a damped expectation propagation method which restricts the messages on factor graph to Gaussian distributions. Simulations results verify the feasibility of proposed algorithm.

Original languageEnglish
Title of host publication2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
PublisherIEEE
ISBN (Electronic)9781509021437
ISBN (Print)9781509021444
DOIs
Publication statusPublished - 21 Oct 2016
Externally publishedYes
Event2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Conference

Conference2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • expectation propagation
  • factor graph
  • message damping
  • Passive localization

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