MGDMPGNSS - Methods of GNSS positioning
|Type of study
|Master academic studies
|Methods of GNSS positioning
|Number of classes
|3П + 3В
|Lecturer (for classes)
|Lecturer/Associate (for practice)
|Improving theoretical and practical knowledge acquired in the undergraduate level, in the wider field of Satellite geodesy, with the aim of a deeper understanding of positioning methods using satellite systems GPS, GLONASS and GALILEO.
|Students have learned to apply GNSS technology for positioning purposes, using a variety of positioning models. They are familiar with the models of data processing and estimation of the accuracy of the obtained results.
|Lectures: Introduction. Global navigation satellite systems GPS, GLONASS, GALILEO. The need for precise positioning. Spatial and time reference systems. Complete functional model of measured code and phase pseudoranges. Modeling the geometric distance between the receiver and the satellite. Modeling the state of satellite oscillators and receivers. Modeling the influence of general and special theory of relativity. Standard model of ionospheric refraction. Ionospheric maps. Functional model of linear combinations of single, double and triple differences. Functional model of frequency combinations of interest for precise positioning. Stochastic model of satellite GNSS measurements. Magnitude of individual sources of errors. Formalism of the least squares method. Methods for solving phase uncertainties at the level of double differences. Exercises: Calculating satellite positions based on navigation message data. Satellite velocity calculation based on navigation message data. Calculation of Alan variance. Calculating the influence of general and special theory of relativity. Calculation of ionospheric influence by a standard model. Calculation of tropospheric influences in the models SAASTAMOINEN and HOPFIELD. Forming a series of single, double and triple differences. Forming a series of frequency combinations IONO FREE, GEOMETRY FREE, WIDE LANE. Quantitative evaluation of individual sources of measurement errors. Solving phase uncertainties by LAMBDA method.
|Methods of teaching
|Theoretical lectures and practical exercises
|Облици провјере знања и оцјењивање
|Exercises. Final exam.