S004234-通信与信息系统用数字信号处理

时间:2020-02-09浏览:144

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

通信与信息系统用数字信号处理

英文

Digital Signal Processing for Communications and Information Systems

待分配课程编号

MS004234

课程适用学位级别

博士


硕士

总学时

32

课内学时

32

学分

2

实践环节


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

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

王东明

职称

教授/博导

e-mail

wangdm@seu.edu.cn

网页地址


授课语言

中文

课件地址


适用学科范围

通信芯片与微系统

所属一级学科名称

信息与通信工程

实验(案例)个数


先修课程

信号与系统

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

自编讲义





主要参考书

















一、课程介绍(含教学目标、教学要求等)300字以内)

数字信号处理被广泛应用于通信与信息系统。本课程将主要讲授通信与信息系统中的数字信号处理技术,主要包括数字滤波器的设计、自适应滤波、多速率信号处理等技术。本课程以讲授为主,并采用通用软件无线电平台(USRP)作为辅助教学。通过本课程的学习,使学生掌握数字滤波器、自适应滤波、滤波器组的设计原理和方法,了解数字信号处理的最新研究动态。通过USRP辅助教学,初步掌握数字信号处理在通信信息系统中的应用,包括多速率信号处理、时频变换、自适应均衡等。


二、教学大纲(含章节目录):(可附页)


第一部分:绪论(6学时)

1.课程的主要内容介绍

2.复习信号与系统、数字信号处理的基本概念,并综述数字信号处理在通信与信息系统中的应用背景与现状。

3.使用USRP构建FM调制和解调系统,介绍通信系统的基本概念,从实际系统中了解数字信号处理如何应用于实际系统。


第二部分:滤波器的设计与实现(6学时)

介绍数字滤波器的设计原理和实现,采用matlab/python语言给出具体的实现例子。


第三部分:最优和自适应滤波(8学时)

介绍最优的维纳滤波、自适应滤波(LMSRLS)、平方根RLS及快速RLS算法、卡尔曼滤波。


第四部分:滤波器组和时频变换(8学时)

介绍多速率信号处理的基础、滤波器组设计、频域滤波和时频分析。


第五部分:空时信号处理在无线通信中的应用(8学时)

介绍MIMO无线通信和空时信号处理及其在无线通信系统中的应用。



三、教学周历

周次

教学内容

教学方式

 1

课程简介、数字信号处理的研究进展及其在通信系统中的研究状况


 2

信号与系统复习、数字信号处理的基础知识复习


 3

数字信号处理在基于USRPFM系统接收机中的应用


 4

最优维纳滤波


 5

数字滤波器设计原理


 6

数字滤波器的实现


 7

数字滤波器的matlab/python实验


 8

最优维纳滤波


 9

 LMSRLS自适应滤波器


 10

平方根RLS及快速RLS算法


 11

卡尔曼滤波器


 12

多速率信号处理的基础


 13

滤波器组设计


 14

频域滤波和时频分析


 15

 MIMO无线通信和空时信号处理


 16

 5G移动通信中的数字信号处理和空时信号处理


 17

复习


 18

考试


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:

王东明:男,出生于197710月,博士,教授、博士生导师。主要从事无线移动通信方面的科研和教学工作,承担30多项国家和省部级科研项目。已发表学术论文140多篇,其中SCI收录50余篇。已申请和授权国内和国际发明专利30多件。获2014年江苏省科学技术奖一等奖和2016年度国家科技进步特等奖。担任IEEE通信学会旗舰会议ICC 2015无线通信分会TPC副主席和WCSP2017无线通信分会的TPC主席,目前担任《中国科学-信息科学》编委。


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

王东明

通信与信息系统




wangdm@seu.edu.cn




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。


研究生院    2003.12












Application Form For Opening Graduate Courses

School (Department/Institute)

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

Course Name

Chinese

通信与信息系统中的数字信号处理

English

Digital Signal Processing for Communications and Information Systems

Course Number


Type of Degree  

Ph. D


Master

Total Credit Hours

32

In Class Credit Hours

32

Credit

 2

Practice


Computer-using Hours


Course Type

□Public Fundamental    □Major Fundamental    □Major CompulsoryMajor Elective

School (Department)

School of Information Science and Engineering

Term

Fall

Examination

A. √PaperOpen-book   □ Closed-bookB. □Oral    

C. □Paper-oral Combination                       D. □ Others

Chief

Lecturer

Name

Wang Dongming

Professional Title

Professor

E-mail

wangdm@seu.edu.cn

Website


Teaching Language used in Course

Chinese

Teaching Material Website


 Applicable Range of Discipline

Communications chip and micro-systems

Name of First-Class Discipline

Information and communications engineering

Number of Experiment


Preliminary Courses

Signal and Systems

Teaching Books

Textbook Title

Author

Publisher

Year of Publication

Edition Number

Main Textbook






Main Reference Books

















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

Digital signal processing (DSP) is widely used in communication and information systems. This course will mainly teach digital signal processing technologies and their applications in communication and information systems, including digital filter design, adaptive filtering, multi-rate signal processing and other advanced DSP technologies. This course is mainly taught and assisted by Universal Software Radio Platform (USRP). Through the study of this course, students can master the design principles and methods of digital filters, adaptive filters and filter banks, and understand the recent research trends of digital signal processing. The application of digital signal processing in communication information system, including multi-rate signal processing, time-frequency conversion and adaptive equalization, is preliminarily mastered through USRP.




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


Part I: Introduction (6 hours)


1. Introduction to the main contents of the course

2. Reviewing the basic concepts of signal and system, and digital signal processing, and reviewing the application background and current research of digital signal processing in communication and information system.

3. Using USRP to construct a FM modulation and demodulation system. Introduce the basic concepts of communication system, and understands how digital signal processing is applied to the FM receiver.


Part 2: Design and implementation of digital filter (6 hours)

This paper introduces the design principle and implementation of digital filter, and gives a concrete example by using matlab/python language.


Part 3: Optimal and adaptive filtering (8 hours)

1. The optimal Wiener filtering

2. adaptive filtering (LMS, RLS)

3 square root RLS, fast RLS algorithm

4. Kalman filter


Part IV: Filter banks and time-frequency conversion (8 hours)

1. The basis of multi-rate signal processing

2.Filter bank design

3. frequency domain filtering

4. time-frequency analysis


Part 5: Application of Space-Time Signal Processing in Wireless Communication (4 hours)

1. Introduce MIMO wireless communication and space-time signal processing and their applications in wireless communication systems.




  1. Teaching Schedule:

 Week

 Course Content

 Teaching Method

 1

 course introduction; recent research progress of DSP


 2

 review of Signal and System and Basic DSP


 3

 application of DSP in FM system receiver based on USRP


 4

 optimal Wiener filtering


 5

 design principle of digital filter


 6

 implementation of digital filters


 7

 digital filter design with matlab/python


 8

 Optimal Wiener filtering


 9

 LMS and RLS adaptive filters


 10

 square Root RLS and fast RLS algorithms


 11

 Kalman filter


 12

preliminaries of multi-rate signal processing


 13

 design of filter banks


 14

 frequency domain filtering and time-frequency analysis


 15

 MIMO wireless communication and space-time signal processing


 16

 DSP and space-time signal processing in 5G mobile communication


 17

 review


 18

 examinations


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:


Wang Dongming, male, born in Oct. 1977. Ph.D, Professor, Ph.D supervisor. Mainly engaged in research and teaching on wireless mobile communications. Undertook more than 30 national, and provincial and ministerial research projects. More than 140 academic papers have been published, including more than 50 papers indexed by SCI. More than 30 domestic and international invention patents have been applied for and authorized. He won the first prize of Jiangsu Science and Technology Award in 2014 and the first prize of National Science and Technology Progress Award in 2016. Served as a TPC co-chair of ICC 2015 Wireless Communications symposium and TPC Chair of WCSP2017 Wireless Communications symposium. Currently serve as Associate Editor of Science China-Information Sciences.



  1. Lecturer Information (include chief lecturer)


Lecturer

 Discipline

 (major)

 Office

Phone Number

Home Phone Number

Mobile Phone Number

 Email

Address

Postcode

Wang Dongming

Communications and information systems




wangdm@seu.edu.cn

























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