NTU Course

Algorithm Design for Phased Array Radar

Offered in 112-2
  • 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

      Elective
    • GRADUATE INSTITUTE OF ELECTRICAL ENGINEERING

    • GRADUATE INSTITUTE OF COMMUNICATION ENGINEERING

  • YEN-MING HUANG
  • 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

    Enrolled
    0/30
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    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 ------------------------------------------------------------------------- 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 Objective
    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.
  • Course Requirement
    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
  • Expected weekly study hours before and/or after class
  • Office Hour
    Appointment by email.
    *This office hour requires an appointment
  • Designated Reading
  • References
    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. - 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
  • Adjustment methods for students
    Adjustment MethodDescription
    A2

    以錄影輔助

    Assisted by video

    A3

    提供學生彈性出席課程方式

    Provide students with flexible ways of attending courses

    B6

    學生與授課老師協議改以其他形式呈現

    Mutual agreement to present in other ways between students and instructors

    D1

    由師生雙方議定

    Negotiated by both teachers and students

  • Make-up Class Information
  • Course Schedule