Faculty of Technical Sciences

Subject: Basics of GNSS technology (17.GI207)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Scientific-professional
Scientific or art field Geoinformatika
Interdisciplinary No
ECTS 4
Educational goal:

To acquire knowledge in GPS technologies, and to get introduced to the fields of their application.

Educational outcome:

Acquired knowledge is used in further education.

Course content:

Lecture content: - Concept and characteristics of GNSS - Short fundamentals on satellite geodesy, referential systems related to GNSS, survey and characteristics of observed values, measuring methods and mathematical positioning methods - Performing GNSS measuring and data processing, short overview on geodetic dates and data transformation among them, survey on GNSS application - Basic principles in working with DGNSS - Mathematical models, coordinate systems in function, practical problems - Navigation using GNSS - Methods for determining and techniques for searching ambiguities both for phase data and the combination of code and phase data - GNSS application in: geodesy, geodynamics, tectonic plate movement with time alternating coordinates, navigation, Space - Diverse systems for global positioning: TRANST, DORIS, GLONASS, GPS, GALILEO. Location-based services Practice content: Practical application of presented concepts from lectures.

Teaching methods:

Up to 70% of points could be provided through the obligatory tasks, during the teaching process and practical part of the exam. Final examination – oral form.

Literature:
Authors Title Year Publisher Language
C. Rizos Introduction to GPS 1999 University of New South Wales English
J. Sanz Subirana, J.M. Juan Zornoza and M. Hernández-Pajares GNSS Data Processing, Vol. I: Fundamentals and Algorithms 2013 ESA Communications English
J. Sanz Subirana, J.M. Juan Zornoza and M. Hernández-Pajares GNSS Data Processing, Vol. II: Laboratory Exercises 2013 ESA Communications English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Exercise attendance Yes Yes 5.00
Test Yes Yes 5.00
Test Yes Yes 5.00
Oral part of the exam No Yes 50.00
Project task Yes Yes 35.00
Lecturers:
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Asistent sa doktoratom dr Vrtunski Milan

Assistant with PhD

Computational classes
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prof. dr Bulatović Vladimir

Full Professor

Lectures
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prof. dr Govedarica Miro

Full Professor

Lectures
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Asistent Vujinović Marijana

Assistant - Master

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.