Course detail

Radio Communication

FEKT-MPC-RKOAcad. year: 2024/2025

The course addresses the theoretical apsects of modern radi communication theory. It emphasizes on the comprehension of principles of operation of communication systems. The students significantly improve their knowledge in the area of signal processing applied in communication theory, e.g. the algorithms of signal detection and signal space representation. Students get detailed informations about transmission over fading channel, transmission using the spread spectrum principle, OFDM technique and about MIMO systems. Moreover the students get knowledge on the advanced coding principles - e.g. the turbo and LDPC codes. During the practical computer ecxercises, the students verify the theoretical knowledge using the MATLAB computer simulations.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

prof. Ing. Roman Maršálek, Ph.D.

Department

Department of Radio Electronics (UREL)

Entry knowledge

The student who registers the course should be able to explain the basic terms from the area of probability and statistics, describe mathematicaly basic analogue and digital modulation techniques, create a simple program in the MATLAB environment, compute the response of linear systems to input, discuss the basic terminology and methods from the signal processing theory

Rules for evaluation and completion of the course

For academic year 2021/2022 following evaluation criteria are valid:
up to 15 points for PC-labs (5 points for activity=work on the assignments, 5 points for Matlab homework, 5 poits for final test)
(in case of online teaching will be replaced by PC homeworks)
up to 10 points for numerical test (in case of online teaching will be replaced by homeworks)
up to 5 points for numerical homeworks
up to 70 points for final exam (50 points written part, 20 points oral part)
Student must get at least 22 points for written part to qualify for the oral part of final exam. Detailed informations will be specified in the e-learning system
the computer in-class excercises are compulsory

Aims

The aim of the course is to make students familiar with the wireless communication link, representation of information, signal detection, methods of intersymbol interference supression, advanced coding techniques including Turbo and LDPC, radio channel characteristics, amplitude and phase keying and with properties of OFDM, CDMA and MIMO techniques in communications.
The graduate of the course is able to: (a) represent the signal in the signal space; (b) choose a suitable filter for intersymbol interference reduction; (c) discuss the method of Bayesian statistical detector; (d) explain the principles of modulation techniques; (e) create a MATLAB program simulating the principles of digital communication theory; (f) illustrate the structure of OFDM modulator and demodulator; (g) compute the output of a block space-time coder.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

PROAKIS, J., Digital Communications, McGraw-Hill Education. (EN)
HAYKIN, S., Digital Communication Systems, ISBN 978-0471647355 (EN)
PROAKIS, J. Fundamentals of Communication Systems (2nd Edition), ISBN 978-1292015682 (EN)

Recommended reading

Not applicable.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme MPC-EKT Master's 1 year of study, winter semester, compulsory

  • Programme MITAI Master's

    specialization NNET , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Roman Maršálek, Ph.D.

Syllabus

1. Radio communication system, radio communication signals, complex envelope.
2. Channel capacity, information theory.
3. Intersymbol interferences, signal shaping, receiver filter.
4. Detection of radio communication signals, hypothesis testing, AWGN channel.
5. Digital modulations I - PSK, BPSK, DPSK, QPSK, OQPSK.
6. Digital modulations II - MQAM, MSK, GMSK, CPM, applications.
7. Spread spectrum systems I - DSSS, FHSS, spreading sequences.
8. Spread spectrum systems II - rake receiver, synchronization.
9. Communication channels and their characteristics, nonlinear channels.
10. Equalizers - ZF, MMSE, DFE.
11. OFDM - modulation using IFFT, cyclic prefix and orthogonality, applications in IEEE 802.11a,g,n.
12. Block and convolutional codes, cyclic codes, turbo codes, concatenated codes, LDPC codes.
13. MIMO systems, space time coding, singular decomposition, Alamouti code, TCM.

 

Fundamentals seminar

13 hod., compulsory

Teacher / Lecturer

prof. Ing. Roman Maršálek, Ph.D.

Syllabus

1. Orthogonality and orthonormality
2. Gramm-Schmidt proces, random signals
3. Digital modulations
4. CDMA
5. OFDM
6. MIMO systems and Alamouti coding

Exercise in computer lab

26 hod., compulsory

Teacher / Lecturer

Malek Ali
Ing. Martin Kousal

Syllabus

1. Introduction to MATLAB
2. Complex envelope
3. PSK signals
4. Optimal receiver
5. Test
6. CDMA
7. OFDM
8. Wireless channel
9. Synchronization
10. FEC Coding
11. OFDM II
12. RF wireless chain
13. Final evaluation 

Elearning

eLearning: currently opened course