課程資訊
課程名稱
 相控陣列雷達演算法設計
Algorithm Design for Phased Array Radar 
開課學期
 111-2 
授課對象
 電機資訊學院  電信工程學研究所  
授課教師
 黃彥銘 
課號
 CommE5068 
課程識別碼
 942 U0820 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期六7,8,9(14:20~17:20) 
上課地點
 博理114 
備註
 總人數上限：40人 
  
課程簡介影片
 
核心能力關聯
 核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

1. 本學期所有課程將會「實體聚集並支援線上會議室同步參與」，連結為 https://ntucc.webex.com/meet/yenminghuang
2. 歡迎所有對相控陣列雷達系統之實務設計和開發有興趣的同學，自在地加入我們的課程社團一起討論和分享，連結為 https://www.facebook.com/groups/ntuphasedarrayradar/
3. 課程投影片將公告並隨時更新於 https://sites.google.com/view/yenming/teaching
4. 歡迎訂閱課程影片YouTube頻道: https://www.youtube.com/@ntuphasedarrayradar
5. 由於本課程的時段和形式較為特殊，若有任何問題，請隨時與授課教師聯絡 yenminghuang@ntu.edu.tw
-------------------------------------------------------------------------
Algorithm Design for Phased Array Radar is a graduate-level course designed for students interested in modern radar systems widely used in vehicle networks, surveillance systems, military applications, satellites, etc. This course is the extension of the course entitled Signal Processing for Phased Array Radar to provide more insights into high-tech radar systems and applications in recent years. From the aspects of digital signal and data processing algorithms with the aid of Artificial Intelligence (AI), we explore advanced radar technologies. 

課程目標
 The goal of this course is to introduce essential digital signal and data processing techniques for phased array radar systems. By taking this course, the students can
- understand the basic principles of radar,
- comprehend the commonly used signal and data processing algorithms at radar receivers, and
- explore advanced research topics in future radar transceivers.
In addition, by studying some selected topics and executing a term project in one semester, like a workshop, the students can
- be familiar with radar technology and its AI-based data usage,
- share their own opinions through oral presentations in classes, and
- actualize the interested algorithms by teamwork. 
課程要求
 Prerequisite:
- Linear Algebra
- Signal and System
- Principle of Communications
Preferable:
- Signal Processing for Phased Array Radar
- Digital Signal Processing
- Detection and Estimation
- Adaptive Signal Processing
Skill:
- MATLAB (other programming languages are also okay)
- Markdown and LaTeX
Study on Selected Topics, Papers, or Book Chapters:
- Figuring out the system model and revealing the key proposed concepts
- Algorithm implementation and reconstruction of the simulation results 
預期每週課後學習時數
 1 
Office Hours
 另約時間 備註： Appointment by email.  
指定閱讀
 Designated Reading:
- Lecture slides,
- supplementary notes, and
- assigned technical documents, papers, theses, and book chapters. 
參考書目
 Primary Textbooks:
- M. A. Richards, Fundamentals of Radar Signal Processing, 2nd edition, McGraw-Hill Education, 2014.
- M. A. Richards, J. A. Scheer, and W. A. Holm, Principles of Modern Radar: Basic Principles, SciTech Publishing, 2010.
- W. L. Melvin and J. A. Scheer, Principles of Modern Radar: Advanced Techniques, SciTech Publishing, 2012.
- W. L. Melvin and J. A. Scheer, Principles of Modern Radar: Radar Applications, SciTech Publishing, 2013.
- T. W. Jeffrey, Phased-Array Radar Design: Application of Radar Fundamentals, SciTech Publishing, 2009.
- H. L. Van Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, John Wiley & Sons, Inc., 2002.

Auxiliary Textbooks:
- R. J. Mailloux, Phased Array Antenna Handbook, 3rd ed., Artech, 2017.
- J. Guerci, Space-Time Adaptive Processing for Radar, 2nd ed., Artech, 2014.
- V. C. Chen, The Micro-Doppler Effect in Radar, 2nd ed., Artech, 2019.
- F. Fioranelli, H. Griffiths, M. Ritchie, and A. Balleri Micro-Doppler Radar and its Applications, SciTech Publishing, 2020.
- J. Li and P. Stoica, MIMO Radar Signal Processing, Wiley-IEEE Press, 2009.
- W. Liu and S. Weiss, Wideband Beamforming: Concepts and Techniques, John Wiley & Sons, Inc., 2010.
- K. F. Warnick, R. Maaskant, M. V. Ivashina, D. B. Davidson, and B. D. Jeffs, Phased Array for Radio Astronomy, Remote Sensing, and Satellite Communications, Cambridge University Press, 2018.
- S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice-Hall PTR, 1993.
- S. M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory, Prentice-Hall PTR, 1998.
- S. M. Kay, Fundamentals of Statistical Signal Processing: Practical Algorithm Development, Prentice-Hall PTR, 2013. 
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 Participation 
30% 
 Please see Lecture 0: Course Information and Overview for details in the website https://sites.google.com/view/yenming/teaching  
2. 
 Presentation of Selected Topics  
30% 
 Please see Lecture 0: Course Information and Overview for details in the website https://sites.google.com/view/yenming/teaching  
3. 
 Term Project  
40% 
 Please see Lecture 0: Course Information and Overview for details in the website https://sites.google.com/view/yenming/teaching  
 
針對學生困難提供學生調整方式
  
上課形式
 以錄影輔助, 提供學生彈性出席課程方式
作業繳交方式
 學生與授課老師協議改以其他形式呈現
考試形式
其他
 由師生雙方議定
課程進度
週次
日期
單元主題
第1週
 20230225  Lecture 0: Course Information and Overview 
第2週
 20230304  Lecture 1: Constant False Alarm Rate Detection 
第3週
 20230311  Lecture 1: Constant False Alarm Rate Detection 
第4週
 20230318  Lecture 2: Matched Filtering and Pulse Waveform 
第5週
 20230325  Lecture 2: Matched Filtering and Pulse Waveform 
第6週
 20230401  Self-Study (No Class) 
第7週
 20230408  Lecture 3: Doppler Phenomenology and Processing 
第8週
 20230415  Lecture 3: Doppler Phenomenology and Processing 
第9週
 20230422  Lecture 3: Doppler Phenomenology and Processing 
第10週
 20230429  Lecture 4: Array Characterization and Processing
(Term Project Decision) 
第11週
 20230506  Lecture 4: Array Characterization and Processing 
第12週
 20230513  Lecture 4: Array Characterization and Processing 
第13週
 20230520  Lecture 5: Target Tracking With Data Association 
第14週
 20230527  Lecture 5: Target Tracking With Data Association
(Graphical Abstract Submission) 
第15週
 20230603  Term Project Presentation 
第16週
 20230610  Term Project Presentation