課程資訊
課程名稱
相控陣列雷達訊號處理
Signal Processing for Phased Array Radar 
開課學期
112-1 
授課對象
電機資訊學院  電機工程學研究所  
授課教師
黃彥銘 
課號
CommE5066 
課程識別碼
942 U0800 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期六6,7,8(13:20~16:20) 
上課地點
博理114 
備註
總人數上限:50人 
 
課程簡介影片
 
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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
6. 因本學期有兩個連假而停課,且老師可能還會有臨時要出差的行程而停課 (會儘早公告),故先暫定從9月23日至12月16日,都是每週六下午1點開始上課至4點半下課。
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Signal Processing for Phased Array Radar is a graduate-level course designed for students interested in modern radar systems widely used in vehicle networks, military applications, satellites, etc. A phased array, namely an electronically scanned array of antennas, can effectively produce beam patterns in different directions for signal transmission and reception without mechanical rotation of array antennas. A radar, i.e., radio detection and ranging, can be used for detection, tracking, and imaging of an object or physical phenomenon, in terms of range, velocity, angle, and radar cross section. Combining a phased array with a radar has been considered one of the most promising technologies in recent years for various new applications. With huge amounts of data continually obtained, Artificial Intelligence (AI) enables more accurate target prediction, better resource scheduling on multi-target tracking, modeling surrounding environment, etc.

To own in-depth knowledge of digital signal processing algorithms realized in phased array radar, in this course, we will study the following themes.
1. Introduction to Radar Applications and Systems
2. Fundamentals of Radar Signal Processing
3. Radar Range Equation and Signal Model
4. Threshold Detection of Fluctuating Targets
5. Constant False Alarm Rate Detection 

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, and
- make friends with the instructor and classmates. 
課程要求
Prerequisite:
- Linear Algebra
- Probability
- Signal and System
- Principle of Communications
Preferable:
- Random Processes
- Digital Signal Processing
- Digital Communications
- Detection and Estimation
Skill:
- Matlab or Python (other programming languages are also okay)
- LaTeX
Study on Selected Papers or Book Chapters:
- Figuring out the system model and revealing the key proposed concepts
- Algorithm implementation and reconstruction of the simulation results
Attending the first class is mandatory. 
預期每週課後學習時數
Office Hours
另約時間 備註: Appointment and Online. 
指定閱讀
Designated Reading:
- Lecture slides,
- supplementary notes, and
- assigned technical documents, papers, theses, and book chapters.  
參考書目
Primary Textbook:
- 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.

Auxiliary Textbooks:
- H. L. Van Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, John Wiley & Sons, Inc., 2002.
- 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 in Class 
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
以錄音輔助, 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
20230909  Lecture 0: Course Information and Overview  
第2週
20230916  Lecture 1: Introduction to Radar Applications and Systems  
第3週
20230923  Lecture 1: Introduction to Radar Applications and Systems  
第4週
20230930  No class. (中秋連假) 
第5週
20231007  No class. (雙十連假) 
第6週
20231014  Lecture 2: Fundamentals of Radar Signal Processing 
第7週
20231021  Lecture 2: Fundamentals of Radar Signal Processing 
第8週
20231028  Lecture 2: Fundamentals of Radar Signal Processing 
第9週
20231104  Lecture 3: Radar Range Equation and Signal Model  
第10週
20231111  Lecture 3: Radar Range Equation and Signal Model  
第11週
20231118  Lecture 4: Threshold Detection of Fluctuating Targets  
第12週
20231125  Lecture 4: Threshold Detection of Fluctuating Targets  
第13週
20231202  Lecture 4: Threshold Detection of Fluctuating Targets  
第14週
20231209  Lecture 5: Constant False Alarm Rate Detection  
第15週
20231216  Lecture 5: Constant False Alarm Rate Detection  
第16週
20231223  Term Project Presentation