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Using unlocated fingerprints in generation of WLAN maps for indoor positioning

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

Details

Original languageEnglish
Title of host publication2012 IEEE/ION Position Location and Navigation Symposium PLANS, 23-26 April 2012, Myrtle Beach, SC, USA
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers IEEE
Pages576-583
ISBN (Print)978-1-4673-0385-9
DOIs
Publication statusPublished - 2012
Publication typeA4 Article in a conference publication
EventIEEE/ION POSITION LOCATION AND NAVIGATION SYMPOSIUM -
Duration: 1 Jan 1900 → …

Publication series

NameIEEE/ION Position Location and Navigation Symposium
ISSN (Print)2153-358X
ISSN (Electronic)2153-3598

Conference

ConferenceIEEE/ION POSITION LOCATION AND NAVIGATION SYMPOSIUM
Period1/01/00 → …

Abstract

This paper presents five methods for generation of WLAN maps for indoor positioning using crowdsourced fingerprints. A fingerprint is assumed to contain identifiers of WLAN access points, received signal strength values and, if the fingerprint is collected outdoors, a GPS position. The proposed methods use the fingerprints’ information to generate a WLAN map that contains estimated access point locations. Two of the proposed methods use RSS values in access point location estimation. In our evaluation with simulations and with real data, the Access Point Least Squares method, which does not use RSS information, is the fastest and its accuracy is as good as more complex methods that use RSS information.

Publication forum classification

Field of science, Statistics Finland

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