EE613: Digital Signal Processing for Communications
Prerequisites:
Textbook: No required textbook.
Other Recommended
[1] S. Haykin, Adaptive Filter Theory, 4th Ed., Prentice Hall, 2002.
[2] J. G. Proakis, et al, Contemporary Communication Systems Using MATLAB and Simulink, Second edition, Brooks/Cole Pub Co., 2004.
[3] S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, 2e., with DSP Laboratory using MATLAB, McGraw-Hill, 2001.
[4] H. Liu, Signal Processing Applications in CDMA Communications, Artech House, 2000.
[5] IEEE Trans. Communications; IEEE Trans. VT; IEEE Trans. Wireless Communications.
Grading:
Homework 25%
Project 20%
Midterm (open book) 25%
Final (open book) 30%
About late HW: For late HW submission, you get 75% HW grade.
Course Description:
This course teaches digital signal processing techniques for wireless
communications. Various
physical layer issues in wireless communications are addressed, including
channel estimation, adaptive equalization, synchronization, interference cancellation, OFDM, multi-user detection and rake receiver in CDMA, space-time coding, and
smart antenna.
Course Objectives:
Upon completing this course student should be able to:
1. Understand the basic DSP concepts
2. Understand and use various DSP algorithms
3. Understand the applications of DSP in wireless communications
4. Analyze the performance of wireless systems with signal processing
Topical Outline:
|
Week |
Topic |
|
1 |
Lec.1: Channel Estimation |
|
2 |
Lec.2: Channel Estimation (Cont') |
|
3 |
Lec.3: Equalization |
|
4 |
Lec.4: Equalization (Cont') |
|
5 |
Lec.5: MUD in CDMA |
|
6 |
Lec.6: OFDM |
|
7 |
Midterm |
|
8 |
Project assignment |
|
8 |
Lec.7: Diversity and Combining |
|
9 |
Lec.8: Transmit Diversity and Space-Time Coding |
|
10 |
Lec.9: Smart Antenna and Beamforming |
|
11 |
Lec.10: Rake Receiver in CDMA |
|
12 |
Lec.11: Particle Filtering |
|
13 |
Lec.12: DSP Hardware and Implementation Technologies |
|
14 |
Final |