S. C. Segura, B. Oszczak
Thursday 11 October 2018 by Libadmin2018


The development of advanced indoor navigation systems for UAVs has encouraged an extensive interest because of its huge potential in military and civil applications. Global Positioning System allows working in an opened space; however, Indoor Positioning Systems are necessary to work more productively in covered places. The aim of this study was to analyse the state of the art of Indoor Positioning Algorithms. This study contains a description of the most popular Indoor Positioning Algorithms. Different technologies such as Ultra-Wideband (UWB), Radio Frequency Identification (RFID), Bluetooth, ZigBee, Wi-Fi were further analysed in this study. Other solutions using dead reckoning technologies and camera vision were also described. Nevertheless, the best solution will be found in the integrated solution of some of the previous technologies, taking Wi-Fi technology as its root. Some experiments were forwarded by using a Particle Filter algorithm and a selected floor map of a typical office in order to make a verdict when talking about the best solution in Indoor Positioning. All experiments and computations were conducted using the MATLAB® simulation program. The analysis of some parameters during this experiment allows the user to clearly observe how Wi-Fi can be implemented as a real Indoor Positioning System in a short-term period.

Keywords: Indoor Positioning System (IPS), MATLAB®, Wi-Fi, Particle filter.

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