• 096677 - DIGITAL COMMUNICATION II

1) Aims and learning outcomes

The course is finalized to learn the basics of digital communication and to acquire capabilities in the use of commercial software tools as Matlab and Simulink for simulation and performance evaluation of digital transmission systems.

2) Syllabus

2b) Digital Communication II

Equalization. Wiener’s method. Discrete-time AWGN model, FIR and unconstrained linear equalization, adaptive equalization, decision feedback equalization, channel capacity with decision feedback  equalization. Maximum likelihood sequence detection.

Precoding. Tomlinson-Harashima precoding, partial response systems, examples.

Elements of MIMO transmission. The MIMO principle, the MIMO Gaussian channel, detection for the memoryless MIMO channel, detection for the MIMO channel with memory.

Phase-lock loop. Continuous-time PLL, discrete-time PLL, first-order and second-order loop; common phase detectors, design of the loop filter in the presence of phase noise.

Carrier and timing recovery.  Decision-directed phase detector, S-curve, power of M phase detector, differential encoding, feed-forward and feed-back carrier recovery. Square-law timing detector, Gardner detector; digital re-sampling.

3) Laboratory activities

Use of Simulink and Matlab for simulation of digital transmisison systems.

4) Prerequisites

Knowledge of Signal Theory: Fourier analysis, filtering, basics of digital signal processing.

Written examination based on the theory, oral examination based on the theory and on the laboratory.

The laboratory part of the exam includes demonstration and discussion of the software written by the student.