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Hauptinhalt:

Radio Navigation and Radar

Lehrender

Prof. Dr.-Ing. habil. Tobias Weber

Studiengang

Elektrotechnik, Informationstechnik/Technische Informatik

Planung

Sommersemester 3V/1Ü/1L

Voraussetzungen

absolvierte Module: keine

Prüfung

schriftlich (90min)

Leistungspunkte

6

Inhalt

1 Signals and Systems
  • deterministic signals
  • stochastic signals (noise)
  • systems
  • range estimation
  • pulse compression
  • velocity estimation
  • direction of arrival estimation
2 Radio Navigation
  • time of arrival
  • time difference of arrival
  • angle of arrival
3 Radar
  • continuous wave radar
  • pulse radar
  • ambiguity function
  • radar imaging
4 Target Detection
  • detection theory
  • target detection
  • fluctuating targets
  • integration
5 Tracking, Kalman Filter
  • estimation theory
  • dynamical systems
  • Kalman filter
  • extended Kalman filter
  • Bayesian filter approach

References

Basics from Statistical Signal Processing
  • S. M. Kay: Fundamentals of Statistical Signal Processing: Estimation Theory. Upper Saddle River, NJ: Prentice Hall, 1993.
  • S. M. Kay: Fundamentals of Statistical Signal Processing: Detection Theory. Upper Saddle River, NJ: Prentice Hall PTR, 1998.
  • R. N. McDonough and A. D. Whalen: Detection of Signals in Noise, 2. ed. San Diego, CA: Academic Press, 1995.
Radio Navigation
  • S. Sand, A. Dammann, and C. Mensing: Positioning in Wireless Communications Systems. Chichester, UK: John Wiley & Sons, 2014.
  • J. Wendel: Integrierte Navigationssysteme. München: Oldenbourg Verlag, 2011.
Radar
  • N. Levanon: Radar Principles. New York, NY: John Wiley & Sons, 1988.
  • M. A. Richards: Fundamentals of Radar Signal Processing, 2. ed. New York, NY: McGraw-Hill Education, 2014.
Matlab
  • Thuselt, F. and F. P. Gennrich: Praktische Mathematik mit MATLAB, Scilab und Octave: für Ingenieure und Naturwissenschaftler. Berlin: Springer Spektrum, 2013.

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