@inproceedings{05a3c0afd4a24c3da2e4b2847bc6ec72,
title = "Indoor location estimation using virtual fingerprint construction and zone-based remedy algorithm",
abstract = "Location based service relies on precise outdoor and indoor positioning technologies. Intuitively, indoor positioning is more difficult than outdoor positioning because of complicated environment. Fingerprint is a technique proposed to sketch the characteristic of every indoor location by adopting time-consuming measurements in offline phase. To minimize overhead, virtual fingerprint construction scheme (VFCS) with smart antenna system (SAS) has been proposed to fast construct the database based on the log-distance path loss model and interpolation scheme. Our experiments reveal that the VFCS may perform worse when the measured received signal strength levels (RSSIs) are unstable. This paper proposes a simple zone-based algorithm for VFCS to first localize potential zone and then estimate the possible location. Experimental results show that the proposed zone-based algorithm for VFCS and SAS indeed promotes the accuracy of indoor location estimation even using extrapolation scheme.",
keywords = "Indoor Positioning, Location Estimation, Receive Signal Strength, Smart Antenna System, Virtual Fingerprint Construction Scheme, WLAN, Zone-Based Algorithm",
author = "Wu, {Ying Hua} and Chen, {Yu Ling} and Sheu, {Shiann Tsong}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Communication Problem-Solving, ICCP 2016 ; Conference date: 07-09-2016 Through 09-09-2016",
year = "2016",
month = nov,
day = "21",
doi = "10.1109/ICCPS.2016.7751132",
language = "???core.languages.en_GB???",
series = "2016 International Conference on Communication Problem-Solving, ICCP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 International Conference on Communication Problem-Solving, ICCP 2016",
}