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 ------------------------------------------------------------------------- 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

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.

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

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Designated Reading: - Lecture slides, - supplementary notes, and - assigned technical documents, papers, theses, and book chapters.

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.