@article{ref1,
title="An indoor continuous positioning algorithm on the move by fusing sensors and wi-fi on smartphones",
journal="Sensors (Basel)",
year="2015",
author="Li, Huaiyu and Chen, Xiuwan and Jing, Guifei and Wang, Yuan and Cao, Yanfeng and Li, Fei and Zhang, Xinlong and Xiao, Han",
volume="15",
number="12",
pages="31244-31267",
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 &quot;quasi-dynamic&quot; Wi-Fi signal experiment. The TCPF algorithm is proposed to realize the &quot;process-level&quot; 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.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s151229850",
url="http://dx.doi.org/10.3390/s151229850"
}