Robust 3D indoor positioning system based on radio map using Bayesian network

• Main Authors: Alhammadi, Abdulraqeb Shaif Ahmed, Alraih, Saddam, Hashim, Fazirulhisyam, A. Rasid, Mohd Fadlee
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/36209/1/Robust%203D%20indoor%20positioning%20system%20based%20on%20radio%20map%20using%20Bayesian%20network.pdf; http://psasir.upm.edu.my/id/eprint/36209/
• Institution: Universiti Putra Malaysia

Indoor positioning remains a serious issue due to the difficulty in attaining sufficient accuracy within an indoor environment using tracking technology of low complexity. Currently, most positioning systems do not embed the off-the-shelf (OTS) system which allows mobile devices to estimate location without using any additional hardware. In this paper, we propose a robust 3D indoor positioning system that is suitable for an indoor IoT application. This system based on Bayesian network that depends on Wi-Fi signals strength. It was experimentally tested in a building with pre-deployed access points (APs). The experimental results indicate that localization accuracy of the proposed system is high with the use of a small-sized radio map.