Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

Bo An Chen, Po Hsuan Tseng, Kai-Ten Feng, Tian Sheng Wang*

*Corresponding author for this work

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

1 Scopus citations

Abstract

Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020737
DOIs
StatePublished - 25 Jul 2016
Event3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
Duration: 27 May 201630 May 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
CountryTaiwan
CityNantou County
Period27/05/1630/05/16

Fingerprint Dive into the research topics of 'Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems'. Together they form a unique fingerprint.

Cite this