This learning unit is not being organized during year 2018-2019.
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Examples of systems and existing data will be chosen among information systems, electrical transducers, spectral analysis of real signals including noise, hardware (circuits and systems) and software implementation(signal processing, real time), etc.
At the end of this learning unit, the student is able to : | |
1 | Contribution of the course to the program objectives Regarding the learning outcomes of the program of Bachelor in Engineering, this course contributes to the development and the acquisition of the following learning outcomes:
Specific learning outcomes of the course
The skills addressed by « Project 4 » include on one hand transverse skills, common to all projects 4, and on the other hand disciplinary, technical skills that are specific to each engineering specialty. Projects 4 aim at providing students with transversal skills close to the practice of engineering jobs within a multi-disciplinary context :
The project will allow for a trial-and-error approach, typically adopted by young engineers at the beginning of their careers.
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled ¿Programmes/courses offering this Teaching Unit¿. |
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Estimation of the channel and time of arrival (maximum likelihood estimator, cross correlation, Cramer-Rao Bound (CRB), etc.)
Estimation of the position (direct localization, trilateration, Time-of-Arrival technique (TOA) and time-difference-of-arrival (TDOA)
Calculation of statistics: mean, variance, bias and distribution (estimation of time-of-arrival, position, channel model, etc.)
Impact of multiple reflections on the received signal, using panels of different materials.
Students present and defend their project in front of a jury composed of all teachers, completed by other tutors having contributed to the project supervision.