Indoor Positioning System

Abstract

Over the last few years, indoor localization has been a very intended research area that has attract great attention. This attraction is based on the increase demand of indoor positioning applications in various fields like internet of things. A lot of inter-net of things applications requires defining the position of particulars inside the dif-ferent buildings which leads to the great demand of investing time in researching in indoor positioning. The target of this thesis is showing the available technologies that might be used in indoor positioning and set the capabilities of each technology. Then set a comparison between these technologies and choose the best promising one. Finally developing an algorithm based on the selected technology and compare its results with other researches algorithms. Also, there is a part of the thesis researching in developing the performance of the al-gorithm to improve the results. This part also includes illustrates in details the known ways and filtration of positing algorithms.