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課程名稱 |
相控陣列雷達演算法設計
Algorithm Design for Phased Array Radar |
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開課學期 |
112-2 |
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授課對象 |
電機資訊學院 電機工程學研究所 |
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授課教師 |
黃彥銘 |
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課號 |
CommE5068 |
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課程識別碼 |
942 U0820 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期六7,8,9(14:20~17:20) |
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上課地點 |
博理114 |
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備註 |
總人數上限：40人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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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
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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. |
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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. |
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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 |
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預期每週課後學習時數 |
1 |
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Office Hours |
另約時間 備註： Appointment by email. |
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指定閱讀 |
Designated Reading:
- Lecture slides,
- supplementary notes, and
- assigned technical documents, papers, theses, and book chapters. |
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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.
- J. Bergin and J. R. Guerci, MIMO Radar: Theory and Application, Artech, 2018.
- 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. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Participation |
30% |
Please see Lecture 0: Course Information and Overview for details in the website
https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view |
2. |
Presentation of Selected Topics |
30% |
Please see Lecture 0: Course Information and Overview for details in the website
https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view |
3. |
Term Project |
30% |
Please see Lecture 0: Course Information and Overview for details in the website
https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view |
4. |
Term Project Poster and Report |
10% |
Please see Lecture 0: Course Information and Overview for details in the website
https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view |
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針對學生困難提供學生調整方式 |
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上課形式 |
以錄影輔助, 提供學生彈性出席課程方式 |
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作業繳交方式 |
學生與授課老師協議改以其他形式呈現 |
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考試形式 |
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其他 |
由師生雙方議定 |
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週次 |
日期 |
單元主題 |
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第1週 |
20240224 |
Lecture 0: Course Information and Overview |
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第2週 |
20240302 |
Lecture 1: Constant False Alarm Rate Detection |
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第3週 |
20240309 |
Lecture 1: Constant False Alarm Rate Detection |
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第4週 |
20240316 |
Lecture 2: Matched Filtering and Pulse Waveform |
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第5週 |
20240323 |
Lecture 2: Matched Filtering and Pulse Waveform |
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第6週 |
20240330 |
Lecture 2: Matched Filtering and Pulse Waveform |
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第7週 |
20240406 |
No class. |
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第8週 |
20240413 |
Lecture 3: Doppler Phenomenology and Processing |
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第9週 |
20240420 |
Lecture 3: Doppler Phenomenology and Processing |
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第10週 |
20240427 |
Lecture 4: Array Characterization and Processing |
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第11週 |
20240504 |
Lecture 5: Target Tracking with Data Association |
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第12週 |
20240511 |
No class. |
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第13週 |
20240518 |
Term Project: Market Application and Product |
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第14週 |
20240525 |
Term Project: Literature Survey and Review |
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第15週 |
20240601 |
Term Project: Classic Algorithm Introduction |
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第16週 |
20240608 |
No class. |
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