Code
IGFE PHY 7221
Semester
Fall
Domain
Physique
Program
Master
Language
Français/French
ECTS Credits
3
Class hours
30
Program Manager(s)
Department
- Electronique et Physique
Organisation
Cours/TD/TP/projet/examen :Learning objectives
- deploying an adapted simulation
- implement experiments based on information from the scientific literature
- evaluate the performance of the system
- criticize the methods used
- write a coherent report in relation to the problem
- present their work with the required hindsight and intellectual honesty
Keywords
Positionnement précis par la phase de la porteuse, RTK, GPS, GNSS
Content
L’objectif pour les étudiants est d’acquérir une expérience de mise en œuvre terrain de certaines notions vues. Il place les étudiants dans une démarche qui relève à la fois de l’ingénierie et de la recherche. En effet, l’implémentation, l’adaptation et la réalisation concrète à partir de la littérature scientifique existante est un travail d’ingénieur. L’approche critique et la mise au point d’un protocole adapté relève du travail de chercheur. Ce type de double mise en situation au cours du cursus universitaire est souvent valorisable auprès des recruteurs du monde industriel.
Evaluation
Students are set a project (10–15 hours of contact time, 30 hours of actual work; duration to be agreed) designed to help them understand centimetre-level positioning using GNSS signals and the Real-Time Kinematic method, covering both the theoretical and practical aspects. GNSS receivers will be used. Students will need to define a methodology for evaluating the results obtained and analysing the suitability of these approaches for autonomous systems.
Students will have access to platforms incorporating everything required for this purpose.
This type of project will enable students to put their lessons on satellite positioning systems into practice in a meaningful way. Precise positioning methods are of particular interest to the industrial sector, given the trend towards increasingly autonomous systems (such as self-driving cars or drones). It seems appropriate that Master’s graduates should be able to demonstrate solid experience in these areas.
Students are assessed on the basis of three components:
- Participation in the preparatory tutorial
- Final presentation on the project undertaken
- Project report