Course details

Radio Communication

MPC-RKO FEKT MPC-RKO Acad. year 2022/2023 Winter semester 6 credits

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.

Guarantor

Language of instruction

Czech

Completion

Credit+Examination

Time span

  • 26 hrs lectures
  • 13 hrs exercises
  • 26 hrs pc labs

Department

Lecturer

Instructor

Subject specific learning outcomes and competences

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.

Learning objectives

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.

Prerequisite knowledge and skills

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

Fundamental literature

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

Progress assessment

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

Teaching methods and criteria

Teaching methods include lectures, numeric excercises and computer laboratories in MATLAB simulation software.

Controlled instruction

the computer in-class excercises are compulsory

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Mon exam 2023-01-09 T12/SE 6.134 09:0012:00MPC/MKC-RKO 2. termín
Mon exam 2023-01-23 T12/SE 6.134 11:0014:00MPC/MKC-RKO 3. termín
Tue exam 2023-01-31 T12/SC 6.60a 16:0018:00MPC/MKC-RKO 4. termín
Wed exam 2023-01-04 T12/SE 6.134 15:0018:00MPC/MKC-RKO 1. termín
Thu comp.lab lectures T12/SC 6.66 09:0010:5030 1MIT 2MIT xx Maršálek
Thu exam 2022-12-15 T12/SF 2.162 11:0014:00předtermín MPC/MKC-RKO
Thu lecture lectures T12/SF 2.162 11:0012:5060 1MIT 2MIT xx Maršálek
Thu exercise lectures T12/SF 2.162 13:0013:5060 1MIT 2MIT xx Maršálek

Course inclusion in study plans

  • Programme MITAI, field NNET, any year of study, Elective
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