82090 - Satellite Communication and Navigation Systems M

Academic Year 2020/2021

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Telecommunications Engineering (cod. 9205)

Learning outcomes

Understanding of the architecture of satellite communication systems and satellite positioning systems and the main design principles and performance trade-off. The class covers the ground, space, and user segments fundamentals from a Communication Theory perspective.

Course contents

The course is organized into two main parts: Satellite Communications Systems and Satellite Positioning and Navigation Systems.

The first part addresses the main elements of a Satellite System Communication Architecture

  • ground, space, user segments
  • user and feeder links
  • orbits and constellations
  • link budget
  • payload
  • antennas
  • Multibeam and single beam systems
  • SatCom services: broadcast and broaband, fixed and mobile
  • The Digital Video Broadcasting S2 standard

The second part, using several principles and concepts introduced in the first part, focuses on Satellite Positioning systems:

  • Positioning principles
  • Positioning principles applied to satellite systems
  • the GPS system
  • the Galileo system

Readings/Bibliography

  • G. Maral, M. Bousquet, and Z. Sun, Satellite Communications Systems: Systems, Techniques and Technology. John Wiley & Sons
  • B. Sklar, Digital Communications: Fundamentals and Applications. Upper Saddle River, NJ, USA: Prentice-Hall, Inc
  • E. Kaplan and C. Hegarty, Understanding GPS/GNSS: Principles and Applications, Third Edition:, ser. Engineering professional collection. Artech House Publishers, 2017.
  • Slide of the lectures (distributed by email and avaliable at the end of the course on AMS Campus)
  • Teaching methods

    • Lectures based on slides

    Assessment methods

    • Written test and interview. The written test is mandatory, but not blocking.

    Teaching tools

    • Students will be invited to use Matlab programming to better understand concepts presented during the lectures
    • Matlab tools will also be used as a teaching tool during the lectures

    Office hours

    See the website of Alessandro Guidotti