Number of hours
- Lectures 16.0
- Projects 0
- Tutorials 16.0
- Internship 0
- Laboratory works 0
ECTS
ECTS 2.0
Goal(s)
Understand the main signal processing tools for digital communications.
Modeling of channel imperfections and dealing with them: OFDM, equalization, error correcting codes, MIMO techniques.
These techniques are used in mobile communication, ADSL, WIFI, ...
Content(s)
ADAPTIVE ALGORITHMS
SYNCHRONISATION
* Carrier recovery, PLL (Costas and Decision Feedback loops)
* Maximum Likelihood for phase estimation versus PLLs.
* Timing recovery.
EQUALIZATION
* Zero Forcing - Wiener filters
* Inversion with basic examples.
* Stability, Causality
* Main equalization structures: FIR equalizers, Decision Feedback Equalizers (DFE).
* Adaptive equalizers - LMS approach
Multicarriers schemes OFDM.
MIMO SYSTEMS Spatial diversity
Convolutional codes and turbo codes
* VITERBI for coding and equalization.
* TURBO CODES.
Prerequisites
Probability, signal processing
Test
Examen Ecrit : 100%
Additional Information
Course list
Curriculum->Master->Semester 9
Curriculum->Double-Diploma Engineer/Master->Semester 9
Bibliography
- J.-M. BROSSIER. Signal et communication numérique. Hermès 1997.
- Gordon L. Stuber. Principles of Mobile Communication. Kluwer, 2000.