Paper Info
Title
An Indoor Continuous Positioning Algorithm on the Move by Fusing Sensors and Wi-Fi on Smartphones
Abstract
Wi-Fi indoor positioning algorithms experience large positioning error and low stability when continuously positioning terminals that are on the move. This paper proposes a novel indoor continuous positioning algorithm that is on the move, fusing sensors and Wi-Fi on smartphones. The main innovative points include an improved Wi-Fi positioning algorithm and a novel positioning fusion algorithm named the Trust Chain Positioning Fusion (TCPF) algorithm. The improved Wi-Fi positioning algorithm was designed based on the properties of Wi-Fi signals on the move, which are found in a novel quasi-dynamic Wi-Fi signal experiment. The TCPF algorithm is proposed to realize the process-level fusion of Wi-Fi and Pedestrians Dead Reckoning (PDR) positioning, including three parts: trusted point determination, trust state and positioning fusion algorithm. An experiment is carried out for verification in a typical indoor environment, and the average positioning error on the move is 1.36 m, a decrease of 28.8% compared to an existing algorithm. The results show that the proposed algorithm can effectively reduce the influence caused by the unstable Wi-Fi signals, and improve the accuracy and stability of indoor continuous positioning on the move.
Year
DOI
Venue
2015
10.3390/s151229850
SENSORS
Keywords
DocType
Volume
indoor positioning,Wi-Fi,PDR,multi-sensor fusion,TCPF
Journal
15
Issue
ISSN
Citations 
12.0
1424-8220
11
PageRank 
References 
Authors
0.56
15
8
Name
Order
Citations
PageRank
huaiyu li1110.56
Xiuwan Chen23318.04
guifei jing3110.56
yuan wang4110.56
yanfeng cao5110.56
fei li6110.56
xinlong zhang7110.56
han xiao8110.56