
Course unit
SATELLITE NAVIGATION
INM0018399, A.A. 2017/18
Information concerning the students who enrolled in A.Y. 2016/17
ECTS: details
Type 
ScientificDisciplinary Sector 
Credits allocated 
Educational activities in elective or integrative disciplines 
GEO/10 
Geophysics of Solid Earth 
9.0 
Mode of delivery (when and how)
Period 
Second semester 
Year 
2nd Year 
Teaching method 
frontal 
Organisation of didactics
Type of hours 
Credits 
Hours of teaching 
Hours of Individual study 
Shifts 
Lecture 
9.0 
72 
153.0 
No turn 
Start of activities 
26/02/2018 
End of activities 
01/06/2018 
Examination board
Board 
From 
To 
Members of the board 
7 a.a. 2016/17 
01/10/2016 
30/11/2017 
CAPORALI
ALESSANDRO
(Presidente)
LORENZINI
ENRICO
(Membro Effettivo)
BIANCHINI
GIANNANDREA
(Supplente)

Prerequisites:

Orbital Dynamics
Numerical methods 
Target skills and knowledge:

Understanding basic principles and computational algorithms in satellite navigation 
Examination methods:

Technical reports on:
2D resection
Orbit computation
Positioning and navigation GPS and MultiGNSS
Orbit determination of LEO 
Assessment criteria:

Technical reports on:
2D resection
Orbit computation
Positioning and navigation GPS and MultiGNSS
Orbit determination of LEO 
Course unit contents:

'Satellite Navigation' is a 9 credit course offered to students of the second year of 'Laurea Specialistica' in Aerospace Engineering. The course includes theoretical background and practice in developing simple applications in data processing. 
Planned learning activities and teaching methods:

Understanding coordinates, coordinate systems, least squares.
The propagation of microwaves through the ionosphere and troposphere. Multipath.
Architecture of a GNSS: the Space Segment, the Control Segment and the User Segment. GPS vs. GLONASS vs. Galileo: code, phase and navigation message. The Time To First Fix. Assisted GPS. EGNOS and WAAS.
How to compute the coordinates and clock offsets of the GNSS satellites from broadcast ephemeris or postprocessed products.
The pseudorange data and how to invert them to estimate user coordinates and their accuracy.
Tracking user coordinates in time: The state transition matrix; epochwise estimates by least squares vs. filtering. Kalman filter formulation. Estimation of coordinates, velocity and acceleration. Inclusion of stochastic error models into the filter.
How to pack everything into a product: a Google Earth navigator vs. a navigator based on vector cartography. 
Additional notes about suggested reading:

Handouts 
Textbooks (and optional supplementary readings) 


