Course detail

Modern Digital Wireless Communication

FEKT-DKA-RE2Acad. year: 2022/2023

Voice technologies
Introduction to modern wireless communication systems
Communication Signals Theory
Spread Spectrum Digital Communications
Wireless-Signal Processing
Mobile Communications
Satellite Communications Tools and Methods
Free-Space Optical Communications

Language of instruction

English

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

prof. Ing. Milan Sigmund, CSc.

Department

Department of Radio Electronics (UREL)

Learning outcomes of the course unit

Deeper knowledges of wirelew-signal theory, spread spectrum systems, mobile systems, satellite systems and free space communications.

Prerequisites

Signal theory. Wireless communications theory.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Techning methods include lectures. Students have to write a single project/assignment during the course.

Assesment methods and criteria linked to learning outcomes

The student will prepare a project on a given topic in the range of 10 pages. The oral defense of the project is followed, in which the student demonstrates the knowledge of the issues studied.

Course curriculum

1. Speech signal and voice technologies
2. Communication Signals Theory
3. Sets of signals with discrete time and continuous time
4. Promising methods of wireless communications
5.-6. Systems with spread spectrum
7. Systems based on code-division multiplex
8.-9. Processing of signals for radio communication
10. Main interference in multi-user environment
11. Coexistence of mobile systems and its modeling using MATLAB
12. Satellite communications, tools and methods
13. Free-space optical communications

Work placements

Not applicable.

Aims

The aim is to inform students about new principles ans methods of wireless communications.

Specification of controlled education, way of implementation and compensation for absences

The education is optional.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

K.D. Rao, M.N. Swamy, Digital Signal Processing: Theory and Practice, Springer, Singapore, 2018. (EN)
L. Fa-Long, Ch. Zhang, Signal Processing for 5G: Algorithms and Implementations, John Wiley & Sons, Chichester, 2016. (EN)

Recommended reading

B. Boashash, Time-Frequency Signal Analysis and Processing: A Comprehensive Reference, Academic Press, London, 2016. (EN)

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme DKA-EKT Doctoral 0 year of study, summer semester, compulsory
  • Programme DKA-KAM Doctoral 0 year of study, summer semester, compulsory-optional
  • Programme DKA-MET Doctoral 0 year of study, summer semester, compulsory-optional
  • Programme DKA-SEE Doctoral 0 year of study, summer semester, compulsory-optional
  • Programme DKA-TEE Doctoral 0 year of study, summer semester, compulsory-optional
  • Programme DKA-TLI Doctoral 0 year of study, summer semester, compulsory-optional
  • Programme DKAD-EIT Doctoral 0 year of study, summer semester, compulsory-optional
  • Programme DKA-EIT Doctoral 0 year of study, summer semester, compulsory-optional

Type of course unit

 

Guided consultation

39 hod., optionally

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Elearning

eLearning: currently opened course