Serial Number
14986
Course Number
CommE5068
Course Identifier
942 U0820
No Class
- 3 Credits
Elective
GRADUATE INSTITUTE OF ELECTRICAL ENGINEERING / GRADUATE INSTITUTE OF COMMUNICATION ENGINEERING
GRADUATE INSTITUTE OF ELECTRICAL ENGINEERING
GRADUATE INSTITUTE OF COMMUNICATION ENGINEERING
Elective- YEN-MING HUANG
- View Courses Offered by Instructor
COLLEGE OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE GRADUATE INSTITUTE OF COMMUNICATION ENGINEERING
yenminghuang@ntu.edu.tw
Website
https://sites.google.com/view/yenming/
- Sat 7, 8, 9
博理114
Type 1
40 Student Quota
NTU 30 + non-NTU 10
No Specialization Program
- Chinese
- NTU COOL
- Core Capabilities and Curriculum Planning
- Notes
NTU Enrollment Status
Enrolled0/30Other Depts0/0Remaining0Registered0- Course Description1. 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 ------------------------------------------------------------------------- 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.
- Course ObjectiveThe 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.
- Course RequirementPrerequisite: - 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
- Expected weekly study hours after class
- Office Hour
Appointment by email.
*This office hour requires an appointment - Designated Reading
- ReferencesPrimary 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. - 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.
- Grading
30% Participation
Please see Lecture 0: Course Information and Overview for details in the website https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view
30% Presentation of Selected Topics
Please see Lecture 0: Course Information and Overview for details in the website https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view
10% Term Project Poster and Report
Please see Lecture 0: Course Information and Overview for details in the website https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view
30% Term Project
Please see Lecture 0: Course Information and Overview for details in the website https://drive.google.com/file/d/19AIViIJpilTFPtjPJcrNwq_Q1YOwdp3L/view
- Adjustment methods for students
Adjustment Method Description Teaching methods Assisted by video
Provide students with flexible ways of attending courses
Assignment submission methods Mutual agreement to present in other ways between students and instructors
Others Negotiated by both teachers and students
- Course Schedule
20240224Week 1 20240224 Lecture 0: Course Information and Overview 20240302Week 2 20240302 Lecture 1: Constant False Alarm Rate Detection 20240309Week 3 20240309 Lecture 1: Constant False Alarm Rate Detection 20240316Week 4 20240316 Lecture 2: Matched Filtering and Pulse Waveform 20240323Week 5 20240323 Lecture 2: Matched Filtering and Pulse Waveform 20240330Week 6 20240330 Lecture 2: Matched Filtering and Pulse Waveform 20240406Week 7 20240406 No class. 20240413Week 8 20240413 Lecture 3: Doppler Phenomenology and Processing 20240420Week 9 20240420 Lecture 3: Doppler Phenomenology and Processing 20240427Week 10 20240427 Lecture 4: Array Characterization and Processing 20240504Week 11 20240504 Lecture 5: Target Tracking with Data Association 20240511Week 12 20240511 No class. 20240518Week 13 20240518 Term Project: Market Application and Product 20240525Week 14 20240525 Term Project: Literature Survey and Review 20240601Week 15 20240601 Term Project: Classic Algorithm Introduction 20240608Week 16 20240608 No class.