ENEE 729G: Advanced Digital and Wireless Communications

Course Goals:

This course will use advanced mathematical tools to solve fundamental problems in the areas of synchronization, communication over time dispersive non-ideal channels, and communication over time-varying fading channels.

Course Prerequisite(s):

• ENEE 620: Random Processes in Communication and Control
• ENEE 621: Estimation and Detection Theory
• ENEE 623: Digital Communications

Topics Prerequisite(s):

This course applies techniques from enee 621 to solve fundamental problems in communications systems. Therefore, students should have in depth knowledge of first-year graduate-level stochastic processes, detection and estimation theory, and digital communication systems.

Textbook(s)

Reference(s):

1. Meyr and Ascheid, Synchronization in Digital Communications Vol. 1: Phase-, Frequency-Locked Loops, and Amplitude Control, Wiley Interscience, 1990.
2. Meyr, Moeneclaey, and Fechtel, Digital Communication Receicers Synchronization, Channel Estimation, and Signal Processing, Wiley Interscience, 1998.
3. Umberto Mengali, Synchronization Techniques for Digital Receivers, Kluwer Academic/Plenum Publishers, 1997,
4. Weber, Elements of Detection and Signal Design, Springer Verlag, 1987.
5. Haykin, Adaptive Filter Theory (3rd Ed), Prentice-Hall, 1996.
6. Lindsey and Simon, Telecommunications Systems Engineering, Dover Publications, Reprint 1991
7. Benedetto, Biglieri, and Catellani, Digital Transmission Theory, Prentice Hall, 1987
8. Lee and Messerschmitt, Digital Communication (2nd Ed), Kluwer, 1993.
9. Blahut, Digital Transmission of Information, Addison Wesley, 1990
10. proakis, Digital Communications, McGraw-Hill, 1995.
11. Ziemer and Peterson, Digital Communications and Spread Spectrum Systems, MacMillan, 1985.

Core Topics:

1. Review of selected topics
   • Topics in random processes
   • Optimum detection in AWGN
   • Demodulator structures and analysis
2. Synchronization
   • Synchronization and ML Estimation
   • The phase-locked loop
   • Carrier synchronization with digital modulation
   • Symbol time synchronization
   • Bit error performance with synchronization errors
3. Equalization
   • Equivalent discrete time channel models
   • Minimum symbol error probability demodulation
   • Maximum Likelihood K-lag decoding
   • Maximum Likelihood sequence estimation
   • Linear equalization techniques
   • Nonlinear equalization techniques
4. Fading Channels
   • Characterization of fading channels
   • Channel models
   • Signaling over slow fading channels
   • Diversity Techniques
   • Frequency selective channels
   • Time varying fading channels

Grading Method:

Grade will be based on homeworks, tests, and projects.

Last Updated:

Last updated by Gansman on September 26, 1999