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ISPRS Int. J. Geo-Inf. 2017, 6(5), 135; doi:10.3390/ijgi6050135

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview

1
School of Computer Science and Technology, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou 221116, China
2
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou 221116, China
*
Author to whom correspondence should be addressed.
Academic Editors: Sisi Zlatanova, Kourosh Khoshelham, George Sithole and Wolfgang Kainz
Received: 18 February 2017 / Revised: 14 April 2017 / Accepted: 25 April 2017 / Published: 28 April 2017
(This article belongs to the Special Issue 3D Indoor Modelling and Navigation)
View Full-Text   |   Download PDF [871 KB, uploaded 28 April 2017]   |  

Abstract

The widely applied location-based services require a high standard for positioning technology. Currently, outdoor positioning has been a great success; however, indoor positioning technologies are in the early stages of development. Therefore, this paper provides an overview of indoor fingerprint positioning based on Wi-Fi. First, some indoor positioning technologies, especially the Wi-Fi fingerprint indoor positioning technology, are introduced and discussed. Second, some evaluation metrics and influence factors of indoor fingerprint positioning technologies based on Wi-Fi are introduced. Third, methods and algorithms of fingerprint indoor positioning technologies are analyzed, classified, and discussed. Fourth, some widely used assistive positioning technologies are described. Finally, conclusions are drawn and future possible research interests are discussed. It is hoped that this research will serve as a stepping stone for those interested in advancing indoor positioning. View Full-Text
Keywords: indoor positioning technology; Wi-Fi; fingerprint indoor positioning technology; Wi-Fi; fingerprint
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Xia, S.; Liu, Y.; Yuan, G.; Zhu, M.; Wang, Z. Indoor Fingerprint Positioning Based on Wi-Fi: An Overview. ISPRS Int. J. Geo-Inf. 2017, 6, 135.

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