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研究生课程开设申请表

开课院（系、所）：免费送彩金白菜网

课程申请开设类型： 新开√     重开□     更名□（请在□内打勾，下同）

一、课程介绍（含教学目标、教学条件等）（300字以内）

阵列信号处理课程作为研究生课程，希望学生能够掌握雷达信号处理的基本模型、框架和算法，能够了解雷达与通信系统的不同和处理方式的相似性，同时掌握基本的阵列信号处理算法的应用和matlab实现。

二、教学大纲（含章节目录）：（可附页）

第1章 绪论

1.1 引言

1.2 空间传播波信号

1.3 阵列信号处理的基本概念

第2章 阵列信号模型

2.1 数字波束形成技术基础

2.2 空间传播波空时信号

第3章 空域滤波

3.1 波束形成的基本概念

3.2 自适应波束形成方法及最优准则

3.3 自适应算法

第4章 部分自适应阵列处理技术

4.1 部分自适应阵列处理概念

4.2 阵元空间部分自适应处理

4.3 波束空间部分自适应技术

4.4 基于广义旁瓣相消器的部分自适应设计

第5章 阵列信号的参数估计

5.1 传统调向方法

5.2 基于子空间结构的高分辨测向方法

5.3 相干信号源的高分辨处理方法

5.4 最大似然估计

5.5 宽带信号DOA高分辨测向方法

5.6 信号源数的判定

第6章 稳健数字波束形成技术

6.1 系统误差对阵列信号处理的影响与校正技术

6.2 基于高阶统计量阵列高分辨处理

6.3 基于循环平稳性的阵列信号处理

6.4 基于对角加载的稳健数字波束形成技术

第7章 机载雷达空时自适应处理

7.1 机载雷达空时杂波谱

7.2 最优空间自适应处理及其降维算法

三、教学周历

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100至500字为宜。

四、主讲教师简介：

黄岩，1991年5月出生于山东济南，2013年毕业于西安电子科技大学，获工学学士学位；2018年毕业于西安电子科技大学，获工学博士学位。2016年至2018年，作为联合培养博士生先后赴美国佛罗里达大学和圣路易斯华盛顿大学交流学习。现就职于毫米波国家重点实验室，担任讲师职位。

目前作为项目负责人主持国家级纵向课题三项、省部级纵向课题一项、南京市留学回国人员择优资助项目一项，包括国家自然科学基金委、军委科技委、军委装备发展部等纵向课题；同时作为主要人员参与了美国陆军实验室、国防973、国防863、国家高分对地观测重大专项等国内外课题项目。目前发表国内外高水平期刊会议论文30余篇，其中第一作者SCI期刊论文15篇，有10篇第一作者论文发表在《IEEE Trans. on Image Processing》 和 《IEEE Trans. on Geoscience and Remote Sensing》中科院二区TOP期刊。获得2019年跳槽彩金优惠活动的网站“至善青年学者”称号，2019年中国电子学会信号处理年会优秀论文奖。担任APSAR等国际会议分会主席，目前是IEEE遥感频率分配技术委员会（IEEE FARS-TC）成员。目前主要研究领域包括合成孔径雷达、图像处理、阵列信号处理、遥感、人工智能与机器学习、目标检测与识别等。

五、任课教师信息（包括主讲教师）：

六、课程开设审批意见

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)：

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

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

1. Introduction

   1. Introduction

   2. Signal Propagation in Space

   3. Basic Definitions of Array Signal Processing

2. Array Signal Model

   1. Digital Beamforming Basis

   2. Space-Time Signal Propagation in Space

3. Spatial Filtering

   1. Basic Idea of Beamforming

   2. Optimum Criterion of Adaptive Beamforming

   3. Adaptive Algorithm

4. Partial Adaptive Array Processing Technique

   1. Partial Adaptive Array Processing Introduction

   2. Element-Space Partial Adaptive Processing

   3. Beam-Space Partial Adaptive Processing

   4. Generalized Sidelobe Canceller

5. Parameter Estimation of Array Signal

   1. Traditional Direction Estimation Method

   2. High-Resolution Direction Estimation Based on Subspace Structure

   3. High-Resolution Processing for Coherent Signal Sources

   4. Maximum Likelihood Estimation

   5. Wideband Signal DOA Estimation

   6. Number of Sources Estimation

6. Robust Digital Beamforming Technique

   1. Error Calibration of Array Signal Processing

   2. Array High-Resolution Processing Based on High-Order Cumulations

   3. Array Signal Processing Based on Recurrent Stationary Property

   4. Robust Digital Beamforming Based on Diagonal Loading

7. Airborne Radar Space-Time Adaptive Processing

   1. Airborne Radar Space-Time Clutter Spectrum

   2. Optimum Space Adaptive Processing and Dimensionality Reduction

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

3. Teaching Schedule:

Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. Thefour 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 websitesarethose 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)

4. Brief Introduction of Chief lecturer:

Dr. Yan Huang was born at Jinan, Shandong on May, 1991. He received the B.S. degree in electrical engineering, and the Ph. D. degree in signal and information processing, both from Xidian University, Xi’an, China, in 2013 and 2018, respectively. He has been studying as a visiting Ph.D. student in Electrical and Computer Engineering department at University of Florida from Sep. 2016 to July 2017, and in Electrical and Systems Engineering department at the Washington University in St. Louis from July 2017 to Aug. 2018. He is currently an Assistant Professor at the State Key Laboratory of Millimeter Waves, Southeast University.

As a single principal investigator, he has hosted three National Projects and one Provincial Project so far, including the Natural Science Foundation of China and so on. Further, as an important member, he has participated in multiple projects, such as the US Army Laboratory Project, National Defense 973&863 Projects, and National High-Resolution Land Monitoring Project. He has published more than 30 journal and conference papers, including 15 first-author journal papers cited by Web of Science Index. Among these papers, ten first-author papers are published on the TOP journals, such as IEEE Trans. on Image Processing and IEEE Trans. on Geoscience and Remote Sensing. He has won the Best Paper Award of the Signal Processing Conference of the Chinese Institute of Electronics. He was a Session Chair of the APSAR international conference. His research interests include Synthetic Aperture Radar, Image Processing, Array Signal Processing, Remote Sensing, Artificial Intelligence & Machine Learning, and Target Detection & Recognition.

5. Lecturer Information (include chief lecturer)