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 (待公告)。 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 ------------------------------------------------------------------------- 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.

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: - Signal Processing for Phased Array Radar - Digital Signal Processing - Detection and Estimation - Adaptive Signal Processing Skill: - Python and 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.

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. - M. Jankiraman, FMCW Radar Design, Artech, 2018. - A. Santra and S. Hazra, Deep Learning Applications of Short-Range Radars, Artech, 2020. - Matt Markel, Radar for Fully Autonomous Driving, Artech, 2022. - E. Markin, Principles of Modern Radar Missile Seekers, Artech, 2022. - 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. - A. V. Oppenheim and R. W. Schafer, Discrete-time Signal Processing, Pearson, 3rd ed., 2009. - S. Haykin, Communication Systems, John Wiley & Sons, 4th ed., 2001.