MULTI-FLOOR INDOOR POSITIONING SYSTEM USING BAYESIAN GRAPHICAL MODELS

Abstract

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-∞oor indoor positioning system based on Bayesian Graphical Models (BGM). Graphical models have a great ∞exibility 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.