Advanced Digital Communications

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Room INM 10
Mondays 08:15 - 10:00 / course
Mondays 10:15 - 12:00 / exercises
Fridays 13:15 - 15:00 / course


Language : English
Credits : 7

This course is a sequel to the course “Principles of digital communications.” We will discuss advanced digital signal processing techniques, which are commonly employed in modern communications devices.

The course will cover a selection of the following topics :

• Review (hypothesis testing, inner product spaces transforms, sampling theorem, Nyquist criterion, complex Gaussian random variables, passband systems )
• Transmission over Linear Time-Invariant Channels
  
  • Equivalent discrete time channel and whitening filter
    
  • Maximum likelihood sequence estimator: Viterbi algorithm; maximum a-posteriori detection: BCJR algorithm.
    
  • Linear estimaters
    
  • Equalizers (minimum mean squared, zero forcing criterion, decision feedback)
    
  • OFDM
    
  • Channel estimation.
    
• Factor Graph Approach
  
• Wireless communication
  
  • Propagation channel
    
  • Detection for wireless channels
    
  • Diversity : time, frequency and space.
    
• Multiuser communication
  
  • Access techniques: CDMA, TDMA, FDMA
    
  • Direct sequence spread spectrum CDMA
    
  • Multiuser detection: Optimal and linear multiuser detectors.
    
• Connections to information theory
  
  • Transmission over Linear time invariant channels: Waterfilling
    
  • Performance of OFDM and decision feedback equalizers.
    

Principles of digital communications

Ex cathedra + exercises

With continuous control