Course Digital Communications


Responsible: Prof.Dr. Uwe Dettmar

Course

Meets requirements of following modules(MID)

Course Organization

Version
created 2013-04-25
VID 2
valid from WS 2012/13
valid to
Course identifiers
Long name Digital Communications
CID F07_DC
CEID (exam identifier)

Contact hours per week (SWS)
Lecture 2
Exercise (unsplit) 1
Exercise (split)
Lab
Project 1
Seminar
Tutorial(voluntary)
Total contact hours
Lecture 30
Exercise (unsplit) 15
Exercise (split)
Lab
Project 15
Seminar
Tutorial (voluntary)
Max. capacity
Exercise (unsplit) 15
Exercise (split)
Lab
Project 15
Seminar

Total effort (hours): 150

Instruction language

  • Englisch

Study Level

  • Master

Prerequisites

  • basic concepts of signals and systems
  • linear algebra
  • continous and discrete fourier transform
  • basic programming capabilities

Textbooks, Recommended Reading

  • Lindner, Informationsübertragung , Springer, 2005
  • Sklar, Digital Communications, Prentice Hall, 2001
  • Proakis, Digital Communications, McGraw Hill, 2000
  • Benedetto, Biglieri, Principles of Digital Transmission, Kluwer, 1999

Instructors

  • Prof.Dr. Uwe Dettmar
  • Prof. Dr. Harald Elders-Boll

Supporting Scientific Staff

  • Dipl.-Ing. Martin Seckler

Transcipt Entry

Digital Communications

Assessment

Type
wE 80% normal case (oE in case of small number of assessments)
fAP 20% (two eTests each 45 min)

Total effort [hours]
wE 8
fAP 2

Frequency: 2 per year


Course components

Lecture/Exercise

Objectives

Contents
  • signals for digital communication
    • baseband and bandpass signals
    • baseband modulation
    • bandpass modulation
    • receiver structures
    • performance calculation
  • channels and channel models
    • linear channels
    • time and frequency selective channels
    • stochastic channel models
      • AWGN
      • Rice and Rayleigh channel models
      • mobile communication channel models
  • transmission techniques for linear distorted channels
    • linear equalisation
    • MLSE
    • adaptive equalisation
  • multiplex and diversity techniques
    • time and frequency multiplexing
    • code division multiplex
    • OFDM
    • MIMO channels and vector transmission

Acquired Skills
  • understand the principles of modern digital communication
  • assess the properties of contemporary digital communication systems
  • be able to compare the performance of different communication systems
  • understand basic system parameters and know techniques to improve the performance
  • be able to solve problems related to digital communications

Additional Component Assessment

Type
fAP 2 midterm tests
fPS suüervised problem solving

Contribution to course grade
fAP contributes to final grade
fPS not marked

Frequency: 1 per year

Project

Objectives

Acquired Skills
  • model technical systems or problems
  • use modern simulation tools as MATLAB or System Studio for system modelling and simulation
  • train algorithmic thinking
  • analyse contemporary telecom systems

Operational Competences
  • build up simulation links and determine the system performance
  • compare and discuss different technical solutions
  • plan, organize, and conduct small software projects
  • verfy and analyze system models
  • self-contained work with the provided simulation tools and programs

Additional Component Assessment

Type
fTP composition of simulation links

Contribution to course grade
fTP prerequisite for exam

Frequency: 1 per year

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