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 https://reurl.cc/axeN8X。 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 ------------------------------------------------------------------------- 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

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.

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.

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.