Global Navigation Satellite Systems

• explain the role of space-, ground- and user segments of Global Navigation Satellite Systems
• explain the components of GNSS receivers and the fundamentals of code- and carrier tracking
• analyze baseband processing algorithms using a GNSS software receiver
• formulate a nonlinear least squares adjustment algorithm for position estimation
• analyze GNSS error-sources, such as ionospheric delay, tropospheric delay and multipath
• apply filtering techniques in GNSS for more reliable estimations
• describe other navigation sensors and strategies for integration with GNSS to improve the robustness and solution availability
• review relative carrier phase position methods for precise positioning applications
• apply the RINEX file format to exchange of GNSS measurement and satellite ephemeris parameters

The basis for the course is to provide the knowledge necessary to develop the methodologies for GNSS data processing for enhanced positioning and navigation.

The course exercises are based on the implementation of a number of routines and models often used in practice. The lectures support the exercises and provide the necessary mathematical background.

The following subjects will be dealt with: computation of positions from pseudoranges and carrier phase data, modelling of clock errors and atmospheric effects, computation of DOP-values, transformation of positions and covariances. Furthermore, examples of the use of Kalman filtering for GNSS positioning are discussed, including the challenges related resolution of ambiguities.

Exercises are carried out using Matlab.

30552

Lectures and exercises

Maximum: 25.

Please be aware that this course has a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.