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: Chapter in Book/Report/Conference proceedingConference contributionpeer-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
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021437
DOIs
Publication statusPublished - 21 Oct 2016
Event2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

Name2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

Conference

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

Keywords

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

Fingerprint

Dive into the research topics of 'Factor graph and damped expectation propagation based passive localization'. Together they form a unique fingerprint.

Cite this