TLT-5406 Digital Transmission, 7 cr
Mikko Valkama, Markku Renfors
|Lecture times and places||Target group recommended to|
Exam or two mid-term exams and successfully completed Matlab project.
Completion parts must belong to the same implementation
Give basic knowledge of the signal processing techniques used in digital transmission systems. Elements of digital transmission chain: source coding, channel coding, modulation, equalization, and synchronization.
|Content||Core content||Complementary knowledge||Specialist knowledge|
|1.||Information Theoretic Foundation of Electical Communication: - Information, entropy, and mutual information; - Maximal mutual information and channel capacity; - Source coding vs. channel coding.||- Capacity of frequency-selective and fading channels|
|2.||Baseband and Bandpass Digital Transmission: - Bits, symbols, and waveforms; - Baseband pulse amplitude modulation (PAM), Nyquist pulse-shaping, line coding; - Linear I/Q modulation, real and complex symbol alphabets; - Digital frequency modulation techniques.||- Basics of partial response (PR) signaling - Scrambling - Carrier and symbol timing recovery (synchronization)|
|3.||Performance of Digital Transmission Chains: - Effects of additive noise, symbol & bit errors and their probability, Gray mapping; - Spectral efficiency and related concepts, connections to channel capacity theorem.|
|4.||Detection Theory and Intersymbol Interference (ISI) Mitigation: - Basics of statistical decision making and detection, maximum likelihood (ML) and maximum a posteriori (MAP) principles; - Signal space concepts and connection to practical waveforms, sufficient statistics; - Detection of single symbols, matched filtering (MF); - Detection of symbol sequences; - Optimal receiver front-end, signal space arguments, intersymbol interference (ISI); - Zero-forcing (ZF), mean-squared error (MSE) and other optimization principles; - ML sequence detection and Viterbi algorithm; - Channel equalization, linear vs. nonlinear equalizers, adaptive techniques.||- Various adaptive filtering algorithms and their relative performance; convergence properties and other essential characteristics|
|5.||Error Control Coding in Digital Transmission Systems: - Error detection vs. correction vs. prevention, redundancy; - Hard and soft decoding, coding gain; - Block codes and convolutional codes, Viterbi decoding; - Coded modulation and trellis codes; - Interleaving, puncturing.|
Exam, quality of the project work.
Numerical evaluation scale (1-5) will be used on the course
|Type||Name||Author||ISBN||URL||Edition, availability, ...||Examination material||Language|
|Book||Digital Communication||(J.R. Barry,) E. A . Lee and D. G. Messerschmitt||1.-3. Editions, Kluwer Academic Publishers||English|
|Lecture slides||Digital Transmission||Markku Renfors, Mikko Valkama||English|
|SGN-1107 Introductory Signal Processing||Obligatory|
|TLT-5206 Communication Theory||Obligatory|
|Description||Methods of instruction||Implementation|
|Implementation 1|| Lectures
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %