Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101673
Title: Radio map position inference algorithm for indoor positioning systems
Authors: Liu, Wei
Ng, Bing Qiang
Liu, Bin
Guan, Yong Liang
Leow, Yan Hao
Huang, Jun
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Liu, W., Ng, B. Q., Liu, B., Guan, Y. L., Leow, Y. H., & Huang, J. (2012). Radio map position inference algorithm for indoor positioning systems. 2012 18th IEEE International Conference on Networks (ICON), pp.161-166.
Abstract: Indoor positioning systems (IPS) have gain significant attention in the recent years; due to their relative low cost and high accuracy. However, till today, RSSI (received signal strength indicator)-based localization method pose a major challenge to engineers. The effects of severe fading and dynamic nature of the indoor environment greatly degrade the accuracy of the system. In this paper, a position inference algorithm using radio map is proposed to improve the accuracy of RSSI-based indoor locating systems. The radio map is first setup during the calibration phase; samples of RSSI at each point, within the area of interest, is recorded and converted into probability density function. During operation phase an inference algorithm, based on Bayesian probability and distance of the calibrated points involved, can determine the likely position of the object of interest that is between the calibrated points. The system yields an accuracy of less than 1.5 meter, which is better than the current RSSI-based localization system.
URI: https://hdl.handle.net/10356/101673
http://hdl.handle.net/10220/16405
DOI: 10.1109/ICON.2012.6506552
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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