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
111-1 
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
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
星期六7,8,9(14:20~17:20) 
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. 注意本學期「第一次上課」為「9月5日星期一晚上19:20-22:00 (第BCD 節)在博理館114室」,9月10日星期六因應中秋連假停課,9月17日起恢復每週星期六下午14:20-17:20(第789節)上課。
2. 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
3. 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/
4. 課程投影片將公告並隨時更新於 https://sites.google.com/view/yenming/teaching
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
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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. Matched Filtering and Pulse Waveforms
6. Doppler Processing and Clutter Mitigation
7. Array Processing and Beamforming
8. Estimation of Target Parameters 

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:
- Digital Signal Processing
- Digital Communications
- 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
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
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, 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.  
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
考試形式
其他
課程進度
週次
日期
單元主題
第1週
20220905  Lecture 0: Course Information and Overview 
第2週
20220917  Lecture 1: Introduction to Radar Applications and Systems 
第3週
20220924  Lecture 1: Introduction to Radar Applications and Systems 
第4週
20221001  Lecture 2: Fundamentals of Radar Signal Processing 
第5週
20221008  Lecture 2: Fundamentals of Radar Signal Processing 
第6週
20221015  Lecture 3: Radar Range Equation and Signal Model 
第7週
20221022  Lecture 4: Threshold Detection of Fluctuating Targets 
第8週
20221029  Lecture 4: Threshold Detection of Fluctuating Targets 
第9週
20221105  Lecture 5: Matched Filtering and Pulse Waveforms 
第10週
20221112  Lecture 5: Matched Filtering and Pulse Waveforms 
第11週
20221119  Lecture 6: Doppler Processing and Clutter Mitigation 
第12週
20221126  Lecture 6: Doppler Processing and Clutter Mitigation 
第13週
20221203  Lecture 7: Array Processing and Beamforming 
第14週
20221210  Lecture 7: Array Processing and Beamforming 
第15週
20221217  Lecture 8: Estimation of Target Parameters 
第16週
20221224  Term Project Presentation