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Using of GSM and Wi-Fi Signals for Indoor Positioning Based on Fingerprinting Algorithms

机译:基于指纹算法的GSM和Wi-Fi信号在室内定位中的应用

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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.
机译:在本文中介绍了利用Wi-Fi和GSM信号进行室内定位的框架。如今,室内定位对于研究人员来说是一个非常有吸引力的话题,因为准确而可靠的定位系统可以为服务提供商打开新的市场。在本文中,我们将分析Wi-Fi和GSM信号及其组合在室内环境中基于指纹定位的使用。使用仿真分析了定位系统在精度方面的性能。在仿真中,当仅使用GSM信号,仅使用Wi-Fi信号以及使用两种信号的组合时,可以通过三种方式估算移动设备的位置。在仿真中使用了来自最近邻居(NN)系列的三种定位算法。在MATLAB环境中创建的仿真模型中进行了仿真。

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