Title :
A case study of indoor positioning in an unmodified factory environment
Author :
Yu-Ting Lin;Yu-Hsuan Yang;Shih-Hau Fang
Author_Institution :
Department of Electrical Engineering and Innovation Center for Big Data and Digital Convergence, Yuan-Ze University, Taoyuan, Taiwan
Abstract :
This study investigates the performance of Wi-Fi-based fingerprinting location estimation in an unmodified factory environments of Hon-Hai Precision Industry. The positioning system contains four components: temporal filter, dynamic clustering, access point selection, and pattern-matching. We evaluated the performance using realistic Wi-Fi power measurements. Results show that, although reasonable accuracy is achieved (around 72-percentil error is smaller than 7 meter), there always exist much large errors (e.g., over 13 meter). We argue that for a large factory environment, sufficient number of the-same-floor APs is required for many indoor location-based applications such as labor tracking.
Keywords :
"Production facilities","IEEE 802.11 Standard","Testing","Fingerprint recognition","Accuracy","Indoor navigation","Estimation"
Conference_Titel :
Indoor Positioning and Indoor Navigation (IPIN), 2014 International Conference on
DOI :
10.1109/IPIN.2014.7275550