Course detail

Advanced Telecommunication Systems

FEKT-MPA-KS2Acad. year: 2023/2024

The course follows the MPA-KS1 and extends the knowledge especially in the field of environmental impacts on transmission of telecommunication signals. It deals with methods of measurement, modeling and characterization of radio and optical channels, examines the effects of these channels on transmitted signals and describes methods of suppression of negative influences of these channels in selected systems (OFDM, CDMA). The course is also aimed at architecture and performance of selected telecommunication transmitters and receivers, methods of estimating parameters of transmitted signals, advanced methods of synchronization and perspectives of digital telecommunication systems.

Language of instruction

English

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

prof. Ing. Aleš Prokeš, Ph.D.

Department

Department of Radio Electronics (UREL)

Offered to foreign students

The home faculty only

Entry knowledge

Knowledge of bachelor mathematics (integral calculus, solution of equations, fundamentals of probability analysis and statistics) and fundamentals of signal processing (convolution, correlation, filtering, spectrum analysis) are requested.

Rules for evaluation and completion of the course

Not applicable.

Aims

The aim of the course is to acquaint students with the nature and properties of real telecommunication transmission environments, with their negative effects on the transmitted signals and with methods of this effects suppression.
The student is able to: (1) characterize transmission environments and their effects on telecommunication signals, (2) create a channel model, (3) explain and apply methods of elimination of unwanted phenomena in the channel, (4) explain the ways of generating, transmitting and receiving telecommunication signals, (5) estimate the parameters of transmitted signals and use them for advanced methods of signal processing.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

DUNLOP, J., SMITH, D.G. Telecommunications Engineering, CRC Press, 1994. (EN)
SAFAK, M., Digital Communications, John Wiley & Sons, 2017 (EN)
SKLAR, B. Digital Communications Fundamental and Applications. Upper Saddle River: Prentice Hall, 2001. (EN)

Recommended reading

LIN. S., COSTELLO, D. J., Error Control Coding, 2nd Edition, Pearson, 2005 (EN)
PROAKIS, J. G., SALEHI, M., Digital Communications, McGraw-Hill Education, 2014 Digital Communications. McGraw-Hill, 2008 (EN)

Elearning

eLearning: currently opened course

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Aleš Prokeš, Ph.D.

Syllabus

  • Representations of Communication Signals, complex envelope, signal space representation.
  • Detection theory, Bayesian estimation, parameter estimation, matched filter, correlation receiver.
  • Synchronization, carrier recovery, symbol timing recovery.
  • Equalization, inter symbol interference, zero-forcing, MMSE, stochastic LMS, MLSE,  and DFE ekvalizér.
  • Channel coding, ARQ, LDPC.
  • Baseband modulation, line codes.
  • Digital bandpass modulation, continuous Phase FSK, MSK, FFSK, GMSK, MQAM.
  • Multicarrier Modulation, discrete multitone, OFDM.
  • Spread Spectrum Modulation, direct sequence SS, rake receiver, multiple access channels, broadcast channels.
  • Channel diversity, time, antenna, space-time codes.
  • Multiple antennasystems, MIMO systems.
 

Exercise in computer lab

13 hod., compulsory

Teacher / Lecturer

prof. Ing. Aleš Prokeš, Ph.D.

Syllabus

  • Detection theory, Bayesian estimation, parameter estimation, matched filter.
  • Zero-forcing, MMSE, stochastic LMS, MLSE,  and DFE equalizer.
  • Channel coding, LDPC.
  • Digital bandpass modulation, CP FSK, MSK, GMSK, MQAM.
  • OFDM. Direct sequence SS
  • Space-time codes.
  • MIMO systems.
 

Laboratory exercise

13 hod., compulsory

Teacher / Lecturer

prof. Ing. Aleš Prokeš, Ph.D.

Elearning

eLearning: currently opened course