課程名稱 |
相控陣列雷達訊號處理 Signal Processing for Phased Array Radar |
開課學期 |
110-2 |
授課對象 |
電機資訊學院 電信工程學研究所 |
授課教師 |
黃彥銘 |
課號 |
CommE5066 |
課程識別碼 |
942 U0800 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期六6,7,8(13:20~16:20) |
上課地點 |
博理114 |
備註 |
總人數上限:40人 |
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課程簡介影片 |
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核心能力關聯 |
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課程概述 |
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 Systems and Applications
2. Fundamentals of Digital Signal Processing
3. Radar Signal Model and Range Equation
4. Threshold Detection of Fluctuating Targets
5. Matched Filtering and Pulse Waveforms
6. Doppler Processing and Clutter Mitigation
7. Constant False Alarm Rate Detectors
8. Array Processing and Beamforming
9. Space-Time Adaptive Processing
10. Estimation of Target Parameters
11. Target Tracking With Data Association
12. Transceiver Front-end Non-ideal Effects
13. Channel Propagation and Target Models |
課程目標 |
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 papers and executing a term project in one semester, 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. |
課程要求 |
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)
- LaTeX (using the beamer template for preparing slides)
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 |
預期每週課後學習時數 |
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Office Hours |
另約時間 備註: Appointment by email. |
指定閱讀 |
Designated Reading:
- Lecture slides,
- supplementary notes, and
- assigned papers, theses, and book chapters. |
參考書目 |
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. |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Participation |
25% |
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2. |
Presentation of Selected Topics in Class |
25% |
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3. |
Quizzes |
10% |
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4. |
Term Project |
40% |
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週次 |
日期 |
單元主題 |
第1週 |
20220219 |
Lecture 0: Course Information and Overview
Lecture 1: Introduction to Radar Systems and Applications |
第2週 |
20220226 |
Lecture 2: Fundamentals of Digital Signal Processing |
第3週 |
20220305 |
Lecture 3: Radar Signal Model and Range Equation |
第4週 |
20220312 |
Lecture 4: Threshold Detection of Fluctuating Targets |
第5週 |
20220319 |
Lecture 5: Matched Filtering and Pulse Waveforms |
第6週 |
20220326 |
Lecture 6: Doppler Processing and Clutter Mitigation |
第7週 |
20220402 |
Self-Study (No class)
Quiz 1 (at home) |
第8週 |
20220409 |
Lecture 7: Constant False Alarm Rate Detectors |
第9週 |
20220416 |
Lecture 8: Array Processing and Beamforming |
第10週 |
20220423 |
Lecture 9: Space-Time Adaptive Processing |
第11週 |
20220430 |
Lecture 10: Estimation of Target Parameters |
第12週 |
20220507 |
Lecture 11: Target Tracking With Data Association |
第13週 |
20220514 |
Lecture 12: Transceiver Front-end Non-ideal Effects |
第14週 |
20220521 |
Self-Study (No class)
Quiz 2 (at home) |
第15週 |
20220528 |
Lecture 13: Channel Propagation and Target Models |
第16週 |
20220604 |
Self-Study (No class) |
第17週 |
20220611 |
Term Project Presentation |
第18週 |
20220618 |
Term Project Presentation |
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