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Signal and Coding for Communications (SICOM SIGMA S9) - 5PMSSCC6

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  • Number of hours

    • Lectures : 16.0
    • Tutorials : 16.0
    • Laboratory works : 0
    • Projects : 0
    • Internship : 0
    ECTS : 2.0

Goals

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, ...

Contact Benoit GELLER, Laurent ROS

Content

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

Tests

Session 1 :
If in-person courses : 2 hours written examination
If distant learning mandatory : homework report

Session 2 :
Oral examination (by visioconference if distant learning mandatory)



Session 1 :
Si cours en présentiel : examen écrit de 2 heures
Si cours à distance : contrôle continu (rapport à rendre)

Session 2 :
Examen oral (en présentiel ou par visioconférence si le distanciel est imposé)

Additional Information

Curriculum->Double-Diploma Engineer/Master->Semester 9
Curriculum->Engineering degree->Semester 9

Bibliography

  • J.-M. BROSSIER. Signal et communication numérique. Hermès 1997.
  • Gordon L. Stuber. Principles of Mobile Communication. Kluwer, 2000.

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Date of update January 9, 2017

Université Grenoble Alpes