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

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509020737
DOIs
出版狀態Published - 25 七月 2016
事件3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
持續時間: 27 五月 201630 五月 2016

出版系列

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

Conference

Conference3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
國家Taiwan
城市Nantou County
期間27/05/1630/05/16

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