Body shadowing mitigation using differentiated LOS/NLOS channel models for RSSI-based Monte Carlo personnel localization

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Research into localization has produced a wealth of algorithms and techniques to estimate the location of wireless network nodes, however the majority of these schemes do not explicitly account for non-line of sight conditions. Disregarding this common situation reduces their accuracy and their potential for exploitation in real world applications. This is a particular problem for personnel tracking where the user's body itself will inherently cause time-varying blocking according to their movements. Using empirical data, this paper demonstrates that, by accounting for non-line of sight conditions and using received signal strength based Monte Carlo localization, meter scale accuracy can be achieved for a wrist-worn personnel tracking tag in a 120 m 2 indoor office environment.

Original languageEnglish
Title of host publication2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Pages694-698
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France
Duration: 1 Apr 20124 Apr 2012

Publication series

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

Conference

Conference2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Country/TerritoryFrance
CityParis
Period1/04/124/04/12

Keywords

  • body centric
  • channel
  • localization
  • Monte Carlo
  • NLOS
  • off-body
  • propagation
  • RSSI
  • tracking

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