DocumentCode :
3594566
Title :
Study of fingerprint location algorithm based on WiFi technology for indoor localization
Author :
Ting-Ting Xiao ; Xing-Yu Liao ; Ke Hu ; Min Yu
Author_Institution :
Sch. of Comput. Inf. & Eng., Jiangxi Normal Univ., Nanchang, China
fYear :
2014
Firstpage :
604
Lastpage :
608
Abstract :
At outdoor environment, GPS can provide accurate location services. But at indoor environment, it can not. In order to realize accurate positioning indoor, we propose a fingerprint localization algorithm based on WiFi in this paper. In the process of our research, we will divide the indoor environment that need provide accurate location services into a certain scale of virtual grid, and tag each vertex with the physical coordinates. Then use multiple wireless router indoor as WIFI signal source, and use smart phones as the target node. Sample more groups of WiFi signal strength values from each grid vertex, then the value and the physical coordinates form a position fingerprint database. In the process of localization, multiple WiFi signal strength value detected by the target node will be matched with the position fingerprint database to find out a grid vertex most closest to the target node, and regard the physical coordinates of the grid vertex as the final location information of the target node. In order to improve the positioning accuracy of the algorithm, we put the WiFi signal received by the target node into a filter, and use the least square method for error correction when calculating coordinates of the target node. Lastly, we did an experiment on the specific scenes.The experimental results show that the positioning error of fingerprint positioning algorithm based on WiFi is under the meter level at indoor environment, and the positioning accuracy can better meet the needs of business location services.
Keywords :
error correction; indoor navigation; least squares approximations; mobile radio; radionavigation; smart phones; telecommunication network routing; wireless LAN; GPS; WiFi signal source; WiFi technology; business location services; error correction; fingerprint localization algorithm; fingerprint positioning algorithm; grid vertex; indoor environment; indoor localization; indoor positioning; least square method; multiple WiFi signal strength; multiple indoor wireless router; outdoor environment; physical coordinates; position fingerprint database; positioning error; smart phones; target node; virtual grid; Fingerprint Location Algorithm; Indoor Location; WIFI Technology;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 10th International Conference on
Print_ISBN :
978-1-84919-845-5
Type :
conf
DOI :
10.1049/ic.2014.0168
Filename :
7129696
Link To Document :
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