Effectiveness of online RF fingerprinting for indoor localization

Husam Othman, Nuray At, Cihan Topal

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

6 Citations (Scopus)

Abstract

This paper proposes a method for indoor localization by introducing an online Radio Frequency (RF) fingerprinting approach instead of the traditional offline RF fingerprinting. The offline phase is a time-consuming stage where manual measurements made by the user cannot be at high accuracy due to the fact of shadowing effect that human body causes during the construction of RF radio map. Moreover, outdated RF radio map is another issue when it comes to the dynamic environment conditions (displacement of objects, moving people and/or the opening and closing of room doors). By proposing online fingerprinting, the problems mentioned above are solved by obtaining real-time RF maps and estimating an unknown location accordingly. Our method is unique when it comes to the approach, devices and the environment of deployment, and it has successfully shown up to 23% improvement in localization accuracy.

Original languageEnglish
Title of host publication26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538615010
DOIs
Publication statusPublished - 5 Jul 2018
Externally publishedYes
Event26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey
Duration: 2 May 20185 May 2018

Publication series

Name26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/TerritoryTurkey
CityIzmir
Period2/05/185/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Fingerprinting
  • Indoor
  • Localization
  • Online
  • Positioning
  • Rasp-berry Pi

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