S004212-数字通信原理与系统

发布者:沈如达发布时间:2018-04-23浏览次数:62

研究生课程开设申请表

 开课院(系、所):信息科学与工程学院

 课程申请开设类型: 新开     重开□     更名□请在内打勾,下同

课程

名称

中文

数字通信原理与系统

英文

Digital Communications Principles and Systems

待分配课程编号


课程适用学位级别

博士


硕士

总学时

54

课内学时

48

学分

3

实践环节

实验

用机小时


课程类别

公共基础      专业基础     专业必修     专业选修

开课院()

信息科学与工程学院

开课学期

春季

考核方式

A.笔试(开卷   闭卷)      B. 口试    

C.笔试与口试结合                 D. □其他

课程负责人

教师

姓名

张源、黄永明

职称

副高

e-mail

{y.zhang, huangym}@seu.edu.cn

网页地址


授课语言

汉语

课件地址


适用学科范围

二级

所属一级学科名称

电子与通信工程

实验(案例)个数


先修课程

工程矩阵理论、随机过程、

现代数字信号处理

教学用书

教材名称

教材编者

出版社

出版年月

版次

主要教材

Digital Communications

John G Proakis

McGraw-Hill Companions

2001

4

主要参考书

Digital Communications

John G Proakis

McGraw-Hill Companions

2007

5

Fundamentals of Wireless Communication

David Tse and Pramod Viswanath

Cambridge University Press

2005

1

Wireless Communications

Andrea Goldsmith

Cambridge University Press

2005

1


一、课程介绍(含教学目标、教学要求等)300字以内)


 本课程是为信息科学与工程专业硕士开设的一门学位课程,它是通信专业重要的主干课程之一。本课程的主要任务是通过授课和实验的方法,讲授为构建完整数字通信系统所需要的基础知识,包括信源、发送、信道、接收等各环节中的基本问题与常见解决方法,以及对通信可靠性与传输速率性能进行评估的方法,从而使学生完整掌握现代数字通信系统作为一个整体工作的基本原理。


二、教学大纲(含章节目录):(可附页)


 (1数字通信概述:掌握数字通信系统基本的组成部分,以及一般通信信道的特征;掌握和理解一般通信信道的数学模型;了解数字通信的发展历程。

 (2概率论与随机过程:掌握随机变量、概率分布和概率密度函数的基本概念和方法,重点掌握几种通信系统中常用的概率分布;掌握随机过程的基本概念和数学表示方法,理解平稳随机过程的特征及其基本应用场景,掌握和理解线性时不变系统对随机输入信号的响应特征及表示方法,深入理解带限随机过程的抽样定理。

 (3信源编码:掌握信源编码的数学模型、信源熵的定义以及物理意义;掌握和理解信源编码定理;熟练掌握几种常用的离散信号信源编码算法,如Huffman编码、Lempel-Ziv算法;熟练掌握模拟信号信源编码的基本方法和理论,理解量化的率失真函数定义和物理意义,掌握几种常见的算法,如PCMDPCM

 (4通信信号与系统的表征:掌握带通信号与系统的表示法,深入理解窄带带通信号和系统可以用等效低通信号和系统表示,带通系统对带通输入信号的输出信号可由等效低通输入信号和系统的等效低通冲激响应得到;了解信号空间的概念,熟练掌握几种常用数字调制信号的表示法以及频谱特性。

 (5加性高斯白噪声信道的最佳接收机:掌握和理解加性高斯白噪声信道中各种调试方法的最优接收机的设计以及性能特征;熟练掌握和理解相关解调器、匹配滤波解调器的原理和框图,深入理解MLMAP接收机; 掌握几种常用调制信号的错误概率分析和评估方法。

 (6载波和符号同步:掌握信号解调中的载波恢复与符号同步的原理和框图;熟练掌握几种经典的载波相位估计算法和符号定时估计算法;了解载波相位和符号定时的联合估计。

 (7信道容量和信道模型:掌握信道建模的基本方法以及信道容量的概念和物理意义,掌握和理解香农定理;重点掌握几种典型的无线信道建模的理论和方法,包括瑞利、莱斯信道模型等,掌握其仿真分析方法;了解多天线无线信道的建模方法。

 (8信道编码:掌握信道编码的基本原理;重点掌握线性分组码以及卷积码的编解码方法和框图,及其检错和纠错能力;掌握和理解AWGN信道环境下的硬判决和软判决译码方法及其区别;重点掌握卷积码的维特比译码算法;了解Turbo码等高级信道编码。

 (9通过带限信道的数字通信:掌握带限信道的信号设计,包括Nyquist准则、部分响应信号和有失真信道的信号设计;掌握在有AWGNISI存在时的最佳接收机,以及准最佳均衡方法,包括线性均衡、判决反馈均衡,了解Turbo均衡。

 (10自适应均衡:掌握基于LMSRLS的自适应均衡算法,包括自适应线性均衡器、自适应判决反馈均衡器;掌握对算法的性能分析,包括收敛速率及计算复杂度;了解盲均衡算法。

 (11多信道与多载波系统:掌握多信道数字通信及其在AWGN信道中的性能;掌握多载波通信,包括OFDM系统的调制与解调、OFDM系统的FFT实现、OFDM系统中的比特与功率分配、以及峰均比问题。

 (12数字通信用扩频信号:掌握直接序列扩频信号的特征、AWGN信道传输性能、抗干扰能力与应用;掌握调频扩频信号的特征、AWGN信道传输性能及其抗干扰能力;了解扩频系统的同步。

 (13衰落信道特征与信号传输:掌握信道衰落的统计模型,包括Raleigh衰落模型、Ricean衰落模型、Nakagami衰落模型;掌握多径衰落信道上数字信号传输的性能;掌握分集技术、Rake接收等抗衰落传输技术。

 (14衰落信道容量与编码:掌握衰落信道的容量,包括遍历与中断容量;掌握衰落信道中的编码系统的性能;掌握衰落信道网格编码调制与比特交织编码调制;了解频率域编码,了解衰落信道的信道截止速率。

 (15多天线系统:掌握多天线系统的信道模型;掌握多天线传输发送与接收技术;掌握多天线信道的容量;掌握传输扩频信号的多天线系统;掌握MIMO信道的编码技术,包括比特交织编码与空时编码技术。

 (16多用户通信:掌握FDMATDMACDMA方式下的容量;掌握CDMA系统上行链路中的多用户检测技术,包括最佳多用户接收机与次最佳检测器;掌握下行多用户MIMO系统,包括线性与非线性预编码技术;掌握AlohaCSMA-CD随机接入协议及性能。



三、教学周历

 周次

 教学内容

 教学方式

1

 数字通信概述及课程基本内容和要求

 讲课(黄永明)

2

 数字通信中的概率论与随机过程

 讲课(黄永明)

3

 信源编码

 讲课(黄永明)

4

 通信信号与系统的表征

 讲课(黄永明)

5

AWGN信道的最佳接收机

 讲课(黄永明)

6

 载波与符号同步

 讲课(黄永明)

7

 信道容量与信道模型

 讲课(黄永明)

8

 信道编码

 讲课(黄永明)

9

 通过带限信道的数字通信

 讲课(张  源)

10

 自适应均衡

 讲课(张  源)

11

 多信道与多载波系统

 讲课(张  源)

12

 数字通信用扩频信号

 讲课(张  源)

13

 衰落信道特征与信号传输

 讲课(张  源)

14

 衰落信道容量与编码

 讲课(张  源)

15

 多天线系统

 讲课(张  源)

16

 多用户通信

 讲课(张  源)

17



18



 注:1.以上一、二、三项内容将作为中文教学大纲,在研究生院中文网页上公布,四、五内容将保存在研究生院。2.开课学期为:春季、秋季或春秋季。3.授课语言为:汉语、英语或双语教学。4.适用学科范围为:公共,一级,二级,三级。5.实践环节为:实验、调研、研究报告等。6.教学方式为:讲课、讨论、实验等。7.学位课程考试必须是笔试。8.课件地址指在网络上已经有的课程课件地址。9.主讲教师简介主要为基本信息(出生年月、性别、学历学位、专业职称等)、研究方向、教学与科研成果,以100500字为宜。


四、主讲教师简介:


张源,男,1977年生,2004年于东南大学无线电工程系获博士学位,2005年起加入东南大学移动通信国家重点实验室,现为副研究员。参与移动通信领域内多项国家级研究项目,并在国内外学术期刊发表多篇研究论文。个人研究兴趣为现代无线通信与网络技术。


黄永明,男,1977年生,20076月获东南大学信息科学与工程学院(原无线电系)工学博士学位。2008-2009年期间留学瑞典皇家理工学院(KTH)从事博士后研究。研究方向主要包括MIMO通信,多用户通信以及中继协作通信。主持和为主参加过多项国家自然科学基金、国家973项目和863项目以及华为公司的预研项目。已在IEEE Transactions等著名国际期刊上发表SCI论文多篇,并申请多项发明专利。


五、任课教师信息(包括主讲教师):

 任课教师

 学科(专业)

办公电话

住宅电话

 手机

 电子邮件

 通讯地址

 邮政

 编码

 张源

 通信与信息系统



113770572121

y.zhang@seu.edu.cn

东南大学移动通信国家重点实验室

210096

 黄永明

 信号与信息处理



13913845350

huangym@seu.edu.cn

 南京市四牌楼2 号健雄院211

210096


六、课程开设审批意见

所在院(系)



负责人:

期:

所在学位评定分

委员会审批意见



分委员会主席:

期:

研究生院审批意见




负责人:

期:


说明:1.研究生课程重开、更名申请也采用此表。表格下载:http:/seugs.seu.edu.cn/down/1.asp

2.此表一式三份,交研究生院、院(系)和自留各一份,同时提交电子文档交研究生院。








Application Form For Opening Graduate Courses

School (Department/Institute)Information Science and Engineering

Course Type: New Open   Reopen □   Rename □Please tick in □, the same below

Course Name

Chinese

数字通信原理与系统

English

Digital Communications Principles and Systems

Course Number


Type of Degree

Ph. D


Master

Total Credit Hours

54

In Class Credit Hours

48

Credit

3

Practice

experiment

Computer-using Hours


Course Type

Public FundamentalMajor Fundamental    □Major Compulsory     □Major Elective

School (Department)

Information Science and Engineering

Term

Spring

Examination

A. √PaperOpen-bookClosed-bookB. □Oral   

C. □Paper-oral Combination                       D. □ Others

Chief

Lecturer

Name

Zhang Yuan,

Huang Yongming

Professional Title

Associate Professor

E-mail

{y.zhang, huangym}@seu.edu.cn

Website


Teaching Language used in Course

Chinese

Teaching Material Website


Applicable Range of Discipline

second-class discipline

Name of First-Class Discipline

Electronic and Communication Engineering

Number of Experiment

2

Preliminary Courses

Matrix Theory, Random Process, Digital Signal Processing

Teaching Books

Textbook Title

Author

Publisher

Year of Publication

Edition Number

Main Textbook

Digital Communications

John G Proakis

McGraw-Hill Companions

2001

4

Main Reference Books

Digital Communications

John G Proakis

McGraw-Hill Companions

2007

5

Fundamentals of Wireless Communication

David Tse and Pramod Viswanath

Cambridge University Press

2005

1

Wireless Communications

Andrea Goldsmith

Cambridge University Press

2005

1


  1. Course Introduction (including teaching goals and requirements) within 300 words:


The goals are to train the new generation of wireless communication engineers. In particular, our goals are to understand the state-of-the-art of all aspects of digital communications technologies including source coding, channel modeling, transmitter/receiver design, and performance evaluation, and to understand how digital communications systems work as a whole.


  1. Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):


    1. Outline of digital communications: Basic components of digital communications, and characteristic of wireless channels; Mathematical model of digital communication systems, and development of digital communications.

    2. Statistics and stochastic processes: Definitions and applications of random variables and stochastic processes; Typical random variables and stochastic processes used in the design of digital communication system; The output and representation of a time-invariant linear system input with a random signal; The sampling theorem for bandwidth limited stochastic processes.

    3. Source coding: System model of source coding, definition of information entropy; Source coding theorem; Typical source coding algorithms including Huffman, Lempel-Ziv etc.; The basic methods to quantize analogy signals such as PCM and DPCM.

    4. Representation of communication signals and systems: Mathematical representation of communication signals and systems; The equivalent baseband representation of band-pass narrowband signal and system; Concept of signal space, the mathematical representation and features of typical digital modulation signals.

    5. Optimal receivers for AWGN channels: The design of optimal receiver for modulated signal through AGWN channels, including ML and MAP receivers; The principle and model of decorrelation demodulator and matched filter; The methods to evaluate error rates of typical modulated signals.

    6. Carrier and symbol synchronization: The principle and diagram of carrier recovery and symbol synchronization for modulated signals; The algorithms of typical carrier phase estimation and symbol timing.

    7. Cannel capacity and channel model: Typical modeling methods for channels such as Rayleigh and Rice wireless channels; Concepts of channel capacity and Shannon Theorem; Modeling of multiple-antenna channels.

    8. Channel coding: The principle of channel coding for wireless communication systems; The encoder/decoder and diagrams of linear block code and convolutional code, including hard/soft decoder, Viterbi decoder.

(9) Digital communications through band-limited channels: Signal design for band-limit channels, including Nyquist rule, partial-response signals, and signal design for channels with distortion; optimal receiver for channels with AWGN and ISI, including ML receiver, linear equalization, and decision-feedback equalization; Turbo equalization.

(10) Adaptive equalization: LMS and RLS based adaptive equalization algorithms, including adaptive linear equalization and adaptive decision-feedback equalization; the convergence and computation complexity analysis; blind equalization.

(11) Multichannel and multicarrier systems: Multi-channel digital communications in AWGN channels; multi-carrier communications, including OFDM modulation and demodulation, FFT implementation of OFDM systems, bit and power allocation in OFDM systems, and the PAR problem.

(12) Spread spectrum signals for digital communications: Direct sequence spread spectrum signals, including error performance, applications, and the effect of interference on DS spread spectrum systems; frequency hopping spread spectrum signals, including error performance, applications, and the effect of interference on FH spread spectrum systems; synchronization of spread spectrum systems.

(13) Fading channels characterization and signalling: Statistical model of fading channels, including Raleigh, Ricean, and Nakagami model; binary digital signals transmission over fading channel; anti-fading techniques, including diversity technique and Rake receiver.

(14) Fading channels capacity and coding: Ergodic and outage capacity of fading channels; coding for fading channels, including trellis-coded modulation and bit-interleaved coded modulation; coding in frequency domain, and the cutoff rate for fading channels.

(15) Multi-antenna systems: Channel models for multi-antenna systems, signal transmission and detection in MIMO systems; capacity of MIMO channels; spread spectrum signals and multicode transmission for MIMO systems; bit-interleaved coding and space-time coding for MIMO channels.

(16) Multiuser communications: Capacity of FDMATDMACDMA multiple access methods; multiuser detection in CDMA uplink, including the optimal multiuser receiver and suboptimal detectors; downlink multiuser MIMO systems, including linear and nonlinear precoding techniques; Aloha and CSMA-CD random access protocols and performance.


  1. Teaching Schedule:


Week

Course Content

Teaching Method

1

Outline of digital communications

lecture (Huang)

2

Statistics and stochastic processes in communication systems

lecture (Huang)

3

Source coding

lecture (Huang)

4

Representation of communication signals and systems

lecture (Huang)

5

Optimal receivers for AWGN channels

lecture (Huang)

6

Carrier and symbol synchronization

lecture (Huang)

7

Cannel capacity and channel model

lecture (Huang)

8

Channel coding

lecture (Huang)

9

Digital communications through band-limited channels

lecture (Zhang)

10

Adaptive equalization

lecture (Zhang)

11

Multichannel and multicarrier systems

lecture (Zhang)

12

Spread spectrum signals for digital communications

lecture (Zhang)

13

Fading channel characterization and signalling

lecture (Zhang)

14

Fading channel capacity and coding

lecture (Zhang)

15

Multi-antenna systems

lecture (Zhang)

16

Multiuser communications

lecture (Zhang)

17



18



Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. The four and five items are preserved in Graduate School.


2. Course terms: Spring, Autumn , and Spring-Autumn term.  

3. The teaching languages for courses: Chinese, English or Chinese-English.

4. Applicable range of discipline: public, first-class discipline, second-class discipline, and third-class discipline.

5. Practice includes: experiment, investigation, research report, etc.

6. Teaching methods: lecture, seminar, practice, etc.

7. Examination for degree courses must be in paper.

8. Teaching material websites are those which have already been announced.

9. Brief introduction of chief lecturer should include: personal information (date of birth, gender, degree achieved, professional title), research direction, teaching and research achievements. (within 100-500 words)


  1. Brief Introduction of Chief lecturer:


Zhang Yuan, male, born in June 1977, received the doctoral degree from the Department of Radio Engineering of Southeast University in 2004, joined the National Mobile Communications Research Lab (NCRL) in 2005, and is currently an associate professor. He has been extensively involved in many national research projects in the fields of mobile communications. His personal research interests include wireless communication and networking design, analysis and implementation.


Huang Yongming, male, born in Aug. 1977, received the master degree from Nanjing University in China, and the PhD degree from the Southeast University in China, in 2003 and 2007, respectively. Since 2007 he has been an assistant professor in the school of information science and Engineering, Southeast University. In December 2008 he joined in the Signal Processing Lab, Electrical Engineering, Royal Institute of Technology (KTH) as a post-doctor. His current research interest includes MIMO communication systems, multiuser MIMO communications and relay based cooperative communications. He has been extensively involved in many national research projects in the fields of mobile communications and has published several papers in first-class international journal such as IEEE T-SP/T-WC. He also hold several national patents in the fields of MIMO communications.


  1. Lecturer Information (include chief lecturer)


Lecturer

Discipline

(major)

Office

Phone Number

Home Phone Number

Mobile Phone Number

Email

Address

Postcode

Zhang Yuan

Communication and Information System



13770572121

y.zhang@seu.edu.cn

National Comminications Research Lab, Southeast University

210096

Huang Yongming

Signal and information processing



13913845350

huangym@seu.edu.cn

Room 211, Jianxiong Hall

210096




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