Abstract
In the paper framework for indoor positioning utilizing Wi-Fi and GSM signals is introduced. Nowadays, indoor positioning is a very attractive topic for researchers, since accurate and reliable positioning system can unlock new market to service providers. In this paper we will analyse the use of Wi-Fi and GSM signals and their combination for the fingerprinting based positioning in the indoor environment. Performance of positioning system in terms of accuracy was analysed using simulations. In the simulations the position of the mobile device was estimated in three ways, when only GSM signals were used, when only Wi-Fi signals were utilized and when a combination of both signals was used. Three positioning algorithms from the Nearest Neighbour (NN) family were used in the simulations. Simulations were performed in the simulation model created in MATLAB environment.
Highlights
In the recent years research in the area of positioning systems becomes an interesting topic
In the recent paper [8], we focused on indoor positioning system based on GSM signals since GSM signal should be more stable and should not be so affected by attacks, when compared to Wi-Fi signals
It can be seen that accuracy of WKNN algorithm was improved by use of both Wi-Fi and GSM signals in the process of position estimation
Summary
In the recent years research in the area of positioning systems becomes an interesting topic. This is caused by two factors-development of location based services [1], [2] and [3] and significantly increased use of smart devices. Most of the smart devices are capable to estimate the position of the mobile user in an outdoor environment using at least one of Global Navigation Satellite Systems (GNSS), generally GPS. In this paper we will investigate possibility to use combination of Wi-Fi and GSM signals for localization based on fingerprinting framework. In the proposed solution the signals from GSM should improve positioning accuracy of Wi-Fi based system by adding some extra information about the environment. Our goal is to develop modular positioning system which could be used in various environments and can outperform previously developed WiFiLOC [9] positioning system
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