ELE 739 SPECIAL TOPICS IN TELECOMMUNICATIONS
Advanced Signal Processing Techniques for Communications

Instructor: Dr Cenk Toker
Room: EE-3304A, Tel: 312-297 7006

Schedule: Thursday, 9:00-12:00

Textbook: Lectures will be a composition of the related topics from the books: (You may find a copy of these book at the main library)
1. Proakis, Digital Communications, McGrawHill
2. Molisch, Wireless Communications, Wiley
3. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall
4. Haykin, Communication Systems, Wiley
5.
Haykin, Adaptive Filter Theory, Prentice Hall
6. Goldsmith, Wireless Communications, Cambridge Univ. Press
7. Tse and Viswanath, Fundamentals of Wireless Communications, Cambridge Univ. Press
8. Proakis and Salehi, Communication Systems Engineering, Prentice Hall
9. Rappaport, Wireless Communications: Principles and Practice, Prentice Hall
10. Haykin and Moher, Modern Wireless Communications, Prentice Hall
11. Sklar, Digital Communications: Fundamentals and Applications, Prentice Hall
12. Oppenheim and Schafer, Discrete-Time Signal Processing, Prentice Hall
13.
Hayes, “The Viterbi Algorithm Applied to Digital Data Transmission”, IEEE Comm.Mag., pp. 26-32, May 2002
14. Casas, et al., DFE Tutorial

Course Homepage: http://www.ee.hacettepe.edu.tr/~toker/ELE739

The outline of the course will be (roughly)

·         Channel Characterisation (Molisch Chapters 5 and 6)

·         Channel Estimation (Molisch Chapter 8, Kay 1,2,3,4 and 6)

o       Estimation Theory (Cramer-Rao Lower Bound, etc.)

o       Best Linear Unbiased Estimator

·         Channel Equalization

o       Maximum Likelihood Sequence Detector (Viterbi) (Proakis, §10.1, Molisch §16.4, Hayes)

o       ZF (Proakis §10.2.1, Molisch §16.4)

o       MMSE/DFE (Haykin, Adaptive Filter Theory §2, Proakis §10.2/10.3)

o       Adaptive Equalization

o       Maybe Intro. to Blind Equalization.

·         OFDM

o       OFDM signalling techniques

o       Equalisation (Time/Frequency Domain)

·         Maybe (MC)-CDMA

·         Space-Time Signal Processing

·         Space-Time Codes

Assessment:
HWs 30%, Term Project 30%, Final Examination 40%