| Abstract [eng] |
The aim of this master thesis is to research and analyse Ultra-wideband and object inertia measurement technologies to predict the exact position of a moving object. The thesis presents and analyses wireless object positioning techniques by applying Time of Arrival (ToA), Angle of Arrival (AoA), Time Difference of Arrival (TDoA), and Two-Way Range (TWR) methods,. The methods of Dead Reckoning, Extended Kalman Filter and Particle Filter or Sequential Monte Carlo method data filtering are also analysed in order to refine the original coordinate data. To obtain the results of the study, an experimental space is implemented and the results of the study are carried out in it, including the study of the distance between the UWB modules of the stationary system, the study of the accuracy of the positioning of the stationary and the moving objects, and the comparison of the results obtained by the application of the selected data filtering methods. |
