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A metric to describe access point significance in location estimation

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

Abstract

Indoor localization is a key enabling technology for numerous location based services (LBS). A promising indoor localization technique is location fingerprinting (LF), having the major advantage of exploiting already existing radio infrastructures. LF can accurately estimate the user's location providing reliable RF fingerprints, that are unique and stable over time, are available. We propose a method to enhance the LF by exploiting the spatiooral characteristics of RF signals. The method quantifies an access point's (AP) significance for location estimation based on spatial uniqueness and temporal stability characteristics of its RF signals. Based on the proposed significance metric, APs contribute with different weights to the location estimation. By weighting the measurements, more reliable input data are provided to the localization algorithm which consequently results in improved LF performance.

Original languageEnglish
Title of host publicationProceedings of the 2016 13th Workshop on Positioning, Navigation and Communication, WPNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509054404
DOIs
Publication statusPublished - 17 Jan 2017
Externally publishedYes
Event13th Workshop on Positioning, Navigation and Communication, WPNC 2016 - Bremen, Germany
Duration: 19 Oct 201620 Oct 2016

Publication series

NameProceedings of the 2016 13th Workshop on Positioning, Navigation and Communication, WPNC 2016

Conference

Conference13th Workshop on Positioning, Navigation and Communication, WPNC 2016
Country/TerritoryGermany
CityBremen
Period19/10/1620/10/16

Keywords

  • AP selection
  • AP weighting
  • Entropy
  • Localization
  • RSSI Fingerprint
  • Temporal stability

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