Communication and Media Engineering

Modulhandbuch

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Wireless and Sensor Systems

Empfohlene Vorkenntnisse

EMI442 Automotive Radar

  • Basic knowledge in signal processing
  • Basic knowledge in high-frequency but not strictly required
Lehrform Vorlesung/Labor
Lernziele / Kompetenzen

EMI442 Automotive Radar

  • Understanding the principle and types of automotive radars
  • Being capable to understand the advantages of radar compared to other technologies
  • Being capable to know the applications and functions of current and future automotive radar systems
Dauer 1
SWS 4.0
Aufwand
Lehrveranstaltung 60 h
Selbststudium / Gruppenarbeit: 60 h
Workload 120 h
ECTS 6.0
Modulverantwortlicher

Prof. Dr. Sikora

Empf. Semester 3
Haeufigkeit jedes 2. Semester
Veranstaltungen

Internet of Things

Art Vorlesung
Nr. EMI419
SWS 2.0
Lerninhalt

Introduction to IoT

-Broader IoT context

  • The beginnings of the IoT
  • The promise of IoT - defining IoT as a concept
  • Market potential of IoT
  • The current state of the market

-Scope of IoT system

  • What technologies does IoT encompass?
  • How does IoT relate to existing enterprise IT/OT systems and businessprocesses?
  • IoT value chain

-Overview of typical IoT use cases IoT

 

Technical deep dive

-IoT system architecture

  • End-to-end system architecture
  • IoT service pattern
  • Deployment considerations and challenges

-IoT connectivity

•  Overview of existing IoT connectivity landscape

  • Short range (BT, Wifi, Zigbee)
  • Long range (LoRaWAN, Sigfox, NB-IoT, LTE-M)

•  Emerging technologies

  • Satellite IoT

•  Analysis of capabilities of connectivity options

•  Strategies for the right IoT connectivity choice

•  Geo-location services

•  Towards sub $1 devices

 

IoT platforms

•  Overview of existing IoT platform landscape

•  Analysis of typical IoT platform capabilities

•  Examples of leading commercial IoT platforms

 

 

Literatur

Wird in der Vorlesung bekanntgegeben/siehe auch Skript

Automotive Radar

Art Vorlesung
Nr. EMI442
SWS 2.0
Lerninhalt

Advanced Driver Assistance Systems (ADAS), employing camera, LiDAR, and radar technologies, are today in worldwide deployment. By 2024, more than 140 million automotive radar sensors were shipped in a single year, and the global installed base on the road now exceeds 500 million radar units.

ADAS are no longer seen as comfort features, but have become essential safety systems. In particular, radar sensors play a key role in Automatic Emergency Braking (AEB) for cars and trucks, contributing significantly to accident prevention and road safety worldwide.

Looking ahead, radar technology is also a cornerstone for automated and autonomous driving. Higher levels of driving automation require continuous environmental perception under all weather and lighting conditions — an area where radar excels compared to other sensing modalities.

  1. History of automotive radar
  2. Radar basics
    -Wave propagation
    -Automotive radar frequencies and regulations
    -Comparison to other technologies
  3. Radar techniques
    -Radar principles and components
    -Radar signal modulation
    -Basic radar signal processing
    -Radar system specifications and characteristics
  4. Principles for angle measurement
  5. Automotive radar in praxis
    -Applications of automotive radars
    -Examples of automotive radars
    -Radar sensor vehicle installation
    -Mutual Interference of radar sensors
  6. Future trends in automotive radar
Literatur

Christian Waldschmidt, Christina Bonfert, Timo Grebner, Millimeter Wave Radar - Hardware and Signal Processing, Springer, 2025
Jonah Gamba, Radar Signal Processing for Autonomous Driving, Springer, 2025
Winner, H., Hakuli, S., Lotz, F., Singer, C. (Eds.), Handbook of Driver Assistance Systems, Basic Information, Components and Systems for Active Safety and Comfort, Springer, 2016.
Skolnik, M.,Radar Handbook,3rd Edition, McGraw-Hill Education, 2008
Pozar, D. M., Microwave Engineering, 2th Edition, Wiley, 2011.

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