Next Article in Journal
Previous Article in Journal
Sensors 2013, 13(8), 11085-11096; doi:10.3390/s130811085
Article

An Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning

1,2,3,* , 3
, 3
, 3
 and 1
Received: 9 June 2013; in revised form: 30 July 2013 / Accepted: 16 August 2013 / Published: 21 August 2013
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [902 KB, updated 21 June 2014; original version uploaded 21 June 2014]
Abstract: The major problem of Wi-Fi fingerprint-based positioning technology is the signal strength fingerprint database creation and maintenance. The significant temporal variation of received signal strength (RSS) is the main factor responsible for the positioning error. A probabilistic approach can be used, but the RSS distribution is required. The Gaussian distribution or an empirically-derived distribution (histogram) is typically used. However, these distributions are either not always correct or require a large amount of data for each reference point. Double peaks of the RSS distribution have been observed in experiments at some reference points. In this paper a new algorithm based on an improved double-peak Gaussian distribution is proposed. Kurtosis testing is used to decide if this new distribution, or the normal Gaussian distribution, should be applied. Test results show that the proposed algorithm can significantly improve the positioning accuracy, as well as reduce the workload of the off-line data training phase.
Keywords: double-peak Gaussian distribution; kurtosis testing; location fingerprinting; indoor positioning double-peak Gaussian distribution; kurtosis testing; location fingerprinting; indoor positioning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Chen, L.; Li, B.; Zhao, K.; Rizos, C.; Zheng, Z. An Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning. Sensors 2013, 13, 11085-11096.

AMA Style

Chen L, Li B, Zhao K, Rizos C, Zheng Z. An Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning. Sensors. 2013; 13(8):11085-11096.

Chicago/Turabian Style

Chen, Lina; Li, Binghao; Zhao, Kai; Rizos, Chris; Zheng, Zhengqi. 2013. "An Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning." Sensors 13, no. 8: 11085-11096.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert