@inproceedings{b51fd67a4e864b9885be2954ff2549e3,
title = "An accuracy enhancement algorithm for fingerprinting method",
abstract = "Fingerprinting is the prevailing positioning method for location based service (LBS) and indoor positioning applications when compared with other methods such as cell of origin (CoO) and trilateration. It is especially more suitable for complicated indoor environments. However, higher positioning accuracy is still expected for it to match the capabilities of other mature techniques such as GPS. This paper presents a new algorithm for improving the positioning accuracy of the Nearest Neighbour (NN) algorithm from a Wi-Fi-based fingerprinting method. The new algorithm initially used the NN algorithm to identify the initial position estimate of the user being tracked. Then two distance correction values in two roughly perpendicular directions were calculated by the path loss model based on the two signal strength indicator (RSSI) values observed. The errors from the path loss model were eliminated through differencing two calculated distances which were derived from a similar environment. The new algorithm was tested and the results evaluated against that of the NN algorithm. The preliminary results from 24 test points showed that the positioning accuracy of the new approach has improved consistently and the root mean square accuracy improved to 3.4 m from 3.8 m with the NN algorithm.",
keywords = "Fingerprinting, Indoor positioning, LBS, Wi-Fi, positioning algorithm",
author = "Bai, \{Yuntian Brian\} and Mani Williams and Falin Wu and Allison Kealy and Kefei Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 1st IEEE International Conference on Data Science and Advanced Analytics, DSAA 2014 ; Conference date: 30-10-2014 Through 01-11-2014",
year = "2014",
month = mar,
day = "10",
doi = "10.1109/DSAA.2014.7058060",
language = "英语",
series = "DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "110--114",
editor = "Longbing Cao and George Karypis and Irwin King and Wei Wang",
booktitle = "DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics",
address = "美国",
}