Paper Info
Title
A new method for improving Wi-Fi-based indoor positioning accuracy
Abstract
Wi-Fi-and smartphone-based positioning technologies are playing a more and more important role in location-based service industries due to the rapid development of the smartphone market. However, the low positioning accuracy of these technologies is still an issue for indoor positioning. To address this problem, a new method for improving the indoor positioning accuracy was developed. The new method initially used the nearest neighbour (NN) algorithm of the fingerprinting method to identify the initial position estimate of the smartphone user. Then two distance correction values in two roughly perpendicular directions were calculated by the path loss model based on the two signal strength indicator values observed. The systematic error from the path loss model were eliminated by differencing two model-derived distances from the same access point. The new method was tested and the results compared and assessed against that of the commercial Ekahau RTLS system and the NN algorithm. The preliminary results showed that the positioning accuracy has been improved consistently after the new method was applied and the root mean square accuracy improved to 3.3m from 3.8m compared with the NN algorithm.
Year
DOI
Venue
2014
10.1080/17489725.2014.977362
J. Location Based Services
Keywords
Field
DocType
lbs,fingerprinting
Data mining,Nearest neighbour,Systematic error,Computer science,Real-time computing,Path loss,Signal strength,Real-time locating system,Embedded system
Journal
Volume
Issue
ISSN
8
3
1748-9725
Citations 
PageRank 
References 
3
0.54
5
Authors
10
Name
Order
Citations
PageRank
Yuntian Brian Bai1142.96
Suqin Wu230.54
Günther Retscher3466.04
Allison Kealy47012.14
Lucas Holden551.98
Martin Tomko618121.96
Aekarin Borriak730.54
Bin Hu830.54
h r wu9534.67
Kefei Zhang105218.45