Advanced Digital Communications

(3-0-0-3)

CMPE Degree: This course is Not Applicable for the CMPE degree.

EE Degree: This course is Not Applicable for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Telecommunications

Course Coordinator: John R Barry

Prerequisites: ECE 6602

Catalog Description

The theory and practice of efficient digital communications over linear dispersive channels, including adaptive equalization and synchronization.

Textbook(s)

Digital Communication

Course Outcomes

Not Applicable

Strategic Performance Indicators (SPIs)

Outcome 1 (Students will demonstrate expertise in a subfield of study chosen from the fields of electrical engineering or computer engineering):
1. Understand and explain the performance-complexity tradeoff in equalizer design

Outcome 2 (Students will demonstrate the ability to identify and formulate advanced problems and apply knowledge of mathematics and science to solve those problems):
N/A

Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1. Use analytic tools to predict the complexity and performance of various equalization strategies for a given channel.

Topical Outline

1. Deterministic DSP Review
a. Minimum Phase, All-pass, Monic
b. Spectral Factorization Theorem
c. Relate Geometric Mean to Spectral Factorization
2. Stochastic DSP Review
a. Review Autocorrelation and PSD
b. Innovations Representation of Random Process
c. Linear Prediction, Noise Whitening, and Spectral Factorization
3. PAM and Intersymbol Interference
a. Overview of PAM System with ISI
b. Equivalent Complex Baseband Model for Passband Channels
c. Nyquist Pulse Shapes, Raised-cosine Pulses
d. Eye Diagrams
4. Optimal Symbol-by-Symbol Equalization
a. Linear Equalization
b. Decision-Feedback Equalization
5. Finite-Tap, Adaptive Equalization
a. MMSE Equalizers
b. Deterministic Gradient Algorithm
c. Stochastic Gradient Algorithm
d. Recursive Least Squares
e. Adaptive DFE
f. Fractionally-Spaced Equalization
6. Carrier Recovery
a. Continuous-Time and Discrete-Time Phase-Locked Loops
b. Phase Detectors and VCO's
c. Decision-directed Carrier Recovery
d. Power-of-n Carrier Recovery
7. Timing Recovery
a. Spectral-line Methods
b. MMSE Methods
c. Non-fractionally-spaced Methods
8. Advanced Equalization Techniques
a. Transmitter Equalization
b. Tomlinson-Harashima Precoding
c. Partial Response
d. Multicarrier Modulation over ISI Channels
e. Relationship to Water Pouring Capacity
f. Combined Coding and Equalization: Multicarrier vs Precoding
9. Maximum-Likelihood Sequence Detection
a. The MF and Whitened-MF Yield Sufficient Statistics
b. The Viterbi Algorithm
10. Multiple-Input Multiple-Output
a. Single-user Point-to-Point
b. Multiuser
c. Linear MIMO Detection
d. Successive-Interference Cancellation: DFE
e. Rayleigh Fading and Diversity for MIMO
f. Sphere Decoding
11. Project
a. Software implementation of receiver, including practical effects such as downconversion, resampling, carrier recovery, timing recovery, and adaptive equalization