This course focuses on the core digital information transmission and signal processing techniques utilised in all widely-used communications systems and networks, like 2G/3G/4G/5G mobile communication networks, wireless LANs, digital TV broadcasting, and DSL. These techniques include error control coding, digital modulation, filtering, channel equalisation and detection.
Information theoretic foundation of electrical communication:
- Information, entropy, and mutual information;
- Maximal mutual information and channel capacity;
- Source coding vs. channel coding;
- Capacity of frequency-selective and fading channels
Baseband and bandpass digital communication:
- 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.
Performance of digital communication chains:
- Effects of additive noise, symbol & bit errors and their probability, Gray mapping;
- Spectral efficiency and related concepts, connections to channel capacity theorem.
- Effects of fading on the symbol and bit errors
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 optimisation principles;
- ML sequence detection and Viterbi algorithm;
- Channel equalisation, linear vs. nonlinear equalizers, adaptive techniques.
Error control coding in digital communication 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.
- Basic ideas and application of Turbo codes, LDPC codes and Polar codes.
- Concepts of time, phase and frequency synchronization in digital communications receivers
- Some basic algorithms to acquire synch
After completing the course, the student
- Can explain the information theoretic foundations of digital communications.
- Can recognise and explain the main elements of digital communication systems and the common digital modulation methods in waveform domain.
- Is able to analyse the transmission link level performance of digital communication systems.
- Recognises and is able to explain the main functions of digital communications transmitters and receivers.
- Can explain the significance and principles of error control coding in digital communication systems.
Lecture notes, slides and other complementary materials.
Project work and exam. For FITech students, flexible mechanisms are pursued.
More information in the Tampere University study guide.
You can get a digital badge after completing this course.
5G, 6G, tietoliikennetekniikka, tietoliikenneverkot, tiedonsiirtotekniikka, langaton teknologia, langattomat verkot, mobiiliverkot, Internet, esineiden Internet, teollinen Internet, digitaalinen modulaatio, informaatioteoria, koodausteoria, Matlab
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