ECE 5654 - Digital Communications II: Advanced Theory and Analysis (3C)
Fundamentals of the theory, design, and analysis of modern digital communication systems. Representation of signal in digital form. Design and analysis of digital modulation formats and receivers using signal space techniques. Combining error correction techniques with digital modulation. Viterbi algorithm for maximum likelihood sequence estimation. Equalization and adaptive equatlization. Fading channels and diversity techniques.
Why take this course?
There is a set of fundamental principles that are at the core of the design and analysis of modern communication systems. These principles include:
The design and analysis of modulation formats using signal space techniques (Gramm-Schmidt orthogonalization procedure, bandwidth and power spectrum analysis, optimal MAP receiver design, probability of error analysis for generalized signal constellations) The use of error correction in the design of communication systems (analysis of communication systems with block and convolutional codes, hard and soft decision decoding, combined coding and modulation, selection of error correction techniques for communication system design). The use of the Viterbi algorithm for maximum likelihood sequence estimation such as the decoding of convolutional codes. ) The use of equalization for high data rate systems, particularly adaptive equalization techniques. ) The impact of multipath fading channels and diversity techniques to overcome fading channels.Students need an understanding of this material to work in the field of modern communication system design, to take more advanced courses in satellite and wireless communications, simulation, and information theory, and to conduct research in communications.