Multi-floor indoor positioning system using bayesian graphical models

被引：24

作者：

Al-Ahmadi A.S. ^{[1
]}

Omer A.I. ^{[1
]}

Kamarudin M.R. ^{[1
]}

Rahman T.A. ^{[1
]}

机构：

[1] Wireless Communication Centre, Universiti Teknologi Malaysia, Skudai

来源：

Progress In Electromagnetics Research B | 2010年 / 25期

关键词：

D O I：

10.2528/PIERB10081202

中图分类号：

学科分类号：

摘要：

In recent years, location determination systems have gained a high importance due to their 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 than 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.

引用

页码：241 / 259

页数：18

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