课程名称 (Course Name) ： Communications theory and system

课程代码 (Course Code）： X034518

学分/学时 (Credits/Credit Hours)： 3/48

开课时间 (Course Term )：  Fall term

开课学院（School Providing the Course）: School of Electronic Information and Electrical Engineering  

任课教师（Teacher）:  Jing Liu

课程讨论时数（Course Discussion Hours）: 0

课程实验数（Lab Hours）:   3

课程内容简介(Course Introduction):

This course focuses on fundamentals of digital communication system. It mainly discusses communication signal, digital modulation, adaptive equalization, multiple antenna system, and optimum reception from signal transmission. It also describes the basis of information theory, channel capacity, channel coding and other content from the perspective of information transmission.

教学大纲(Course Teaching Outline):

1.        Introduction

l  Overview of digital communication system

l  A digital communication block diagram

l  Mathematical models for communication channels

l  Review of probability theory

l  Review of stochastic processes

2.        Characterization of Communication Signals and Systems

l  Representation of band-pass signals and systems

Representation of band-pass signals and linear band-pass systems

Ø  Response of a band-pass system to bans-pass signals

l  Representation of digitally modulated signals

Ø  Pulse-amplitude-modulated (PAM) signals

Ø  Phase-modulated signals

Ø  Quadrature amplitude modulation (QAM)

Ø  Orthogonal multidimensional signals

l  Spectral characteristics of digitally modulated signals

3.        Optimum Receivers for AWGN Channel

l  Optimum Receiver for Signals Corrupted by Additive White Gaussian Noise

Ø  Demodulator：

ü  Correlation demodulator

ü  Matched-filter demodulator

Ø  Detector:

ü  The optimum detector

ü  The Maximum-Likelihood Sequence Detector

l  Performance of the optimum receiver for memoryless modulation

l  Optimum receiver for signals with random phase in AWGN channel

4.        Channel Capacity

l  Channel Models

Ø  Binary symmetric channel (BSC) 

Ø  Discrete memoryless channel (DMC)

Ø  Discrete-input, continuous output channel

Ø  Waveform channel

l  Channel Capacity

Ø  Discrete memoryless channel (DMC)

Ø  Binary symmetric channel (BSC) 

Ø  Discrete-input, continuous output channel

Ø  Waveform channel

5.        Convolutional Channel Codes

l  Linear block codes

l  Convolutional codes

l  Probability of error for Soft-Decision and Hard-Decision decoding

6.        Signal Design for Band-Limited Channels

l  Characterization of band-limited channels

l  Signal design of band-limited channels

Ø  Design of band-limited signals for non intersymbol interference

Ø  Nyquist criterion

Ø  Design of band-limited signals with controlled ISI

Ø  Signal design for channels with distortion

7.        ISI in Band-Limited Filter Channels

l  Optimum receiver for channels with ISI and AWGN

l  Equalization

Ø  Maximum-Likelihood Sequence Detection criterion

Ø  Linear Equalization

Ø  Decision-Feedback Equalization

8.        Multichannel and Multicarrier Systems

l  Multichannel digital communications in AWGN channels

l  Multicarrier communications

9.        Spread Spectrum Signals for Digital Communications

l  Models of spectrum digital communication system

l  Direct Sequence Spread Spectrum signals

l  Frequency-hopped spread spectrum signals and other types of spread spectrum systems

10.    Digital Communication through Fading Multipath Channels

l  Characterization of fading multipath channels

l  The effect of signal characteristics on the choice of a channel model

l  Frequency-nonselective, slowly fading channel

l  Diversity techniques for fading multipath channel

课程进度计划(Course Schedule):

1.        Introduction (2 hours)

2.        Characterization of Communication Signals and Systems (8 hours)

3.        Optimum Receivers for AWGN Channel (8 hours)

4.        Channel Capacity (3 hours)

5.        Convolutional Channel Codes ( 4 hours)

6.        Signal Design for Band-Limited Channels ( 4 hours)

7.        ISI in Band-Limited Filter Channels ( 6 hours)

8.        Multichannel and Multicarrier Systems ( 3 hours)

9.        Spread Spectrum Signals for Digital Communications (4 hours)

10.    Digital Communication through Fading Multipath Channels (6 hours)

课程考核要求(Course Assessment Requirements)：

Grading: Course Project=30% and Final Exam=70%.

参考文献(Course References)：

1.      J. G. Proakis, Digital Communications, fourth edition, McGraw–Hill, 2001

2.      J. G. Proakis, Digital Communications, fifth edition, McGraw–Hill, 2007

3.      R. G. Gallager, Principles of Digital Communication, Cambridge University

Press, 2008

预修课程（Prerequisite Course）

Principles of Communication, Signals and Systems, Digital Signal Processing,