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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2010-09-14
Multi-Floor Indoor Positioning System Using Bayesian Graphical Models
By
Abdullah Al-Ahmadi,

    Dr. Abdullah Al-Ahmadi

    Department of Electrical Enginnering

    Majmaah University

    Saudi Arabia

    Homepage

Abdusamea. I. A. Omer,

    Dr. Abdusamea. I. A. Omer

    Faculty of Electrical Engineering

    Universiti Teknologi Malaysia (UTM)

    Malaysia

    Homepage

Muhammad Ramlee Kamarudin,

    Professor Muhammad Ramlee Kamarudin

    Faculty of Electrical and Electronic Engineering

    Universiti Tun Hussein Onn Malaysia

    Malaysia

    Homepage

Tharek Bin Abdul Rahman

    Professor Tharek Bin Abdul Rahman

    Faculty of Electrical Engineering

    Universiti Teknologi Malaysia

    Malaysia

    Homepage

Progress In Electromagnetics Research B, Vol. 25, 241-259, 2010
doi:10.2528/PIERB10081202 | Google Scholar

Abstract
In recent years, location determination systems have gained a high importance due to its rule in the context aware systems. In this paper, we will design a multi-floor indoor positioning system based on Bayesian Graphical Models (BGM). Graphical models have a great flexibility on visualizing the relationships between random variables. Rather of using one sampling technique, we are going to use multiple sets each set contains a collection of sampling techniques, the accuracy of each set will be compared with each other.
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Citation
Abdullah Al-Ahmadi, Abdusamea. I. A. Omer, Muhammad Ramlee Kamarudin, and Tharek Bin Abdul Rahman, "Multi-Floor Indoor Positioning System Using Bayesian Graphical Models," Progress In Electromagnetics Research B, Vol. 25, 241-259, 2010.
doi:10.2528/PIERB10081202
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