DocumentCode :
3765811
Title :
Hybrid wireless indoor positioning with iBeacon and Wi-Fi
Author :
Tao Peng; Xinhong Wang; Chao Wang; Danqing Shi
Author_Institution :
Broadband Wireless Communication and Multimedia Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
The fingerprint of location can reach high precision and high accuracy with the assistance of complex positioning algorithms. However, the indoor environment is complex so that the accuracy of indoor positioning is affected easily and seriously by several kinds of signal interference. In this paper, we use iBeacon as anchor method to help WiFi positioning algorithms. In the hybrid algorithms, iBeacon divides the space into different parts, with the combined iBeacon and Wi-Fi offline fingerprint data, and then it locates partly. Compared to the single Wi-Fi indoor positioning algorithms, it can significantly reduce the amount of calculation and the error of positioning.
Publisher :
iet
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM 2015), 11th International Conference on
Type :
conf
DOI :
10.1049/cp.2015.0684
Filename :
7446816
Link To Document :
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