Authors: Haojun Ai; Taizhou Li; Jianjian Wang; Menglei Zhao
Addresses: School of Computer, Wuhan University, Wuhan, Hubei, China ' School of Computer, Wuhan University, Wuhan, Hubei, China ' School of Computer, Wuhan University, Wuhan, Hubei, China ' School of Computer, Wuhan University, Wuhan, Hubei, China
Abstract: Wi-Fi fingerprint indoor localisation method is widely used owing to its low cost and relatively high accuracy. However, a primary problem for fingerprinting is that different devices receive different signal strength even at the same time and in the same place, thus affecting the localisation accuracy extremely. We propose a new method which makes use of RSS histogram generated by radio map and real-time RSS sequence respectively to form a linear relationship between reference devices and users' devices. Therefore, once an observed RSS is received, it is transformed to a new fingerprint to fit the radio map. Our experiments use two different devices to verify the RSS-calibration methods performance compared with that of no calibration and manual calibration. And it indicates that the localisation accuracy is improved by about 2 m.
Keywords: embedded systems; indoor location; Wi-Fi fingerprinting; heterogeneous devices; RSS histogram; smartphones; received signal strength; radio map; localisation accuracy.
International Journal of Embedded Systems, 2014 Vol.6 No.2/3, pp.135 - 139
Available online: 22 Jul 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article