Modulbeschreibung BV610003

Modulbeschreibung

BV610003: GNSS für präzise Anwendungen

Professur für Satellitengeodäsie (Prof. Hugentobler)

Modulniveau:
keine Angabe
Sprache:
Englisch
Semesterdauer:
Einsemestrig
Häufigkeit:
Wintersemester
Credits*:
6
Gesamt-
stunden:

180
Eigenstudiums-
stunden:

105
Präsenz-
stunden:

75
* Die Zahl der Credits kann in Einzelfällen studiengangsspezifisch variieren. Es gilt der im Transcript of Records oder Leistungsnachweis ausgewiesene Wert.
Beschreibung der Studien-/Prüfungsleistungen:
Prüfungsdauer (in min.): 75.
A written exam takes place in the end of the semester. The aim of the written exam is to ensure that the student has gained the required knowledge and understanding for precise positioning with GNSS data as listed in the intended learning outcomes. The students have to participate in a written midterm exam. The grade of the exam is an averaged grade from the midterm exam (25%) and the final exam (75%). With the midterm exam it is validated that the target competences of the first part have been achieved, because they are a pre-requisite for the second part of the module. The labs consist of data analysis tasks, which the students should work on by means of appropriate software during supervised labs. The labs should be documented in 3-5 lab reports, which are evaluated according to a pre-defined evaluation scheme. Based on these labs and written reports, the student should demonstrate that he/she can independently validate the quality of the GNSS data and to apply processing strategies for the GNSS data analysis in terms of precise positioning. The final grade is an averaged grade from the exam (75%) and the lab reports (25%).

Aktueller Hinweis angesichts des eingeschränkten Präsenzbetriebs auf Grund der CoViD19-Pandemie: Sofern die Rahmenbedingungen (Hygiene-, Abstandsregeln etc.) für eine Präsenzprüfung nicht vorliegen, kann gemäß §13a APSO die geplante Prüfungsform auf eine online-gestützte schriftliche oder mündliche Fernprüfung umgestellt werden. Die Entscheidung über diesen Wechsel wird möglichst zeitnah, spätestens jedoch 14 Tage vor dem Prüfungstermin durch die Prüfungsperson nach Abstimmung mit dem zuständigen Prüfungsausschuss bekannt gegeben.
Wiederholungsmöglichkeit:
Im Folgesemester: Ja
Am Semesterende: Nein
(Empfohlene) Voraussetzungen:
Recommended: Fundamentals of linear algebra and statistics as well as successful participation in the module Satellite Navigation and Advanced Orbit Mechanics
Inhalt:
Theory courses (3h) and labs (2h). The aim of the course is to
- get familiar with GNSS, with models involved, and with processing strategies used for precise GNSS positioning applications,
- get experience with GNSS data in practical work.
The theoretical part covers:
- Introduction to GPS and Galileo: position estimation with iterative least-squares method
- Precise Point Positioning with carrier phase measurements (centimeter accuracy)
- Estimation of satellite phase and code biases with geodetic networks
- Estimation of multipath
- Cascaded Kalman filters, method of Bryson
- Real Time Kinematic (RTK) positioning
- Satellite orbit determination: numerical integration, calculation of perturbations, estimation of Keplerian parameters
- Integer ambiguity resolution with statistical a priori knowledge
- Inequality constrained ambiguity resolution
- Statistical evaluation of success rates of carrier phase ambiguity resolution
The practical work includes:
- development of a simple point positioning tool using matlab,
- experiments using a scientific software package to study the impact of different effects and analysis strategies on positioning results.
The practical work is accompanied by short presentations by the participants of their results.
Lernergebnisse:
After the successful conclusion of the module, the students are able to
- understand the theory, the basic methodologies and algorithms, and the current trends for Precise Point Positioning and Real-Time Kinematic (RTK) positioning with GPS and Galileo signals
- to evaluate tracking data quality and multipath
- to assess the impact of different model options on the positioning results
- to understand and apply algorithms and statistical tests for reliable phase ambiguity resolution
- to apply optimized processing strategies to analyze GNSS data for precise positioning applications
Lehr- und Lernmethoden:
In the lecture the content is presented with powerpoint presentations with examples and demonstrations using Matlab. Calculations and derivations are written to the blackboard.

Labs are based on Matlab and on the Bernese GPS Software, a professional GNSS data analysis software. The students work in groups on specific questions and present the results in short oral presentations.
Medienform:
Lecture with power-point presentations with electronic handouts and blackboard, demonstration of Matlab code. Lab exercises with electronic handouts, electronic tutorials with solutions.
Literatur:
Hofmann-Wellenhof, Lichtenegger, Collins (2001): GPS-Theory and Practice, Springer
Mistra (2006): GPS-Signals, Measurements and Performance. Ganga-Jamuna Press
Theunissen, Kleusberg (Eds.) (1998): GPS for Geodesy. Springer
Parkinson, B.W. & Spilker Jr., J.J. (1996), Global Positioning System: Theory and Applications Vol. I/II, American Institute of Aeronautics and Astronautics
Kaplan, E., Hegarty C. (2006), Understanding GPS: Principles and Applications, Second Edition, Artech House (available in the library: www.ub.tum.de)
GPS Interface Control Document, ICD-GPS-200C
Bernese GPS Software Version 5.0 User Manual
Modulverantwortliche(r):
keine Angabe: keine Angabe
Lehrveranstaltungen (Lehrform, SWS) Dozent(in):

0000003284 Precise Point Positioning with GPS and Galileo (4SWS VI, WS 2020/21)
Henkel P

240731768 Labs in Precise GNSS (2SWS UE, WS 2020/21)
Hugentobler U [L], Selmke I