Course Digital Communications

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Responsible: Prof.Dr. Uwe Dettmar

Course

Meets requirements of following modules(MID)

• in active programs
  • Ma CSN2012 DC
  • Ma KSN2007 DC

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

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Course components

Lecture/Exercise

Objectives

Lerninhalte (Kenntnisse)

• 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

Aquired 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

Aquired 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