FACULTY OF ENGINEERING

Department of Electrical and Electronics Engineering

EEE 416 | Course Introduction and Application Information

Course Name
Radar, Sonar and Sismic Signal Processing
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
EEE 416
Fall/Spring
2
2
3
5

Prerequisites
  EEE 301 To succeed (To get a grade of at least DD)
or EEE 309 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Application: Experiment / Laboratory / Workshop
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives This course aims to provide principles of radar signal processing from a digital signal processing perspective. The coverage will include basic signal processing techniques upon which all radar systems rely, including target and interference models, matched filtering, waveform design, Doppler processing, and threshold detection and CFAR. In addition, introductions are provided to the advanced topics of synthetic aperture imaging and spacetime adaptive array processing.
Learning Outcomes The students who succeeded in this course;
  • Explain the fundamental concepts of radar signal processing,
  • Describe the basic radar signal, noise and clutter models,
  • Explain the matched filter and the ambiguity function concepts.
  • Define radar detection techniques,
  • Analyse the performance of basic radar signals and processing techniques using Matlab simulations.
Course Description The following topics will be included: Introduction to radar systems, basic radar signal processing; Signal models, clutter and noise models; Doppler shift, pulsed radar systems; Radar waveforms, The Matched Filter, The Ambiguity Function; Doppler processing; Radar detection fundamentals; Introduction to synthetic aperture radars.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Radar Systems; Signal Processing Review Chapter 1. M. A. Richards. ISBN 0071444742
2 Signal Models, Clutter, Noise Model and SignaltoNoise Ratio Chapter 2. M. A. Richards. ISBN 0071444742
3 Signal Models, Clutter, Noise Model and SignaltoNoise Ratio Chapter 2. M. A. Richards. ISBN 0071444742
4 Frequency Models, Doppler Shift; Spatial Models Chapter 2. M. A. Richards. ISBN 0071444742
5 Sampling and Quantization of Pulsed Radar Systems Chapter 3. M. A. Richards. ISBN 0071444742
6 Sampling and Quantization of Pulsed Radar Systems Chapter 3. M. A. Richards. ISBN 0071444742
7 Radar Waveforms; The Matched Filter, The Ambiguity Function Chapter 4. M. A. Richards. ISBN 0071444742
8 Radar Waveforms; The Matched Filter, The Ambiguity Function Chapter 4. M. A. Richards. ISBN 0071444742
9 Doppler Processing, Moving Target Indication, Pulse Pair Processing Chapter 5. M. A. Richards. ISBN 0071444742
10 Doppler Processing, Moving Target Indication, Pulse Pair Processing Chapter 5. M. A. Richards. ISBN 0071444742
11 Radar Detection Fundamentals Chapter 6. M. A. Richards. ISBN 0071444742
12 Constant False Alarm Rate (CFAR) Detection Chapter 7. M. A. Richards. ISBN 0071444742
13 Introduction to Synthetic Aperture Imaging Chapter 8. M. A. Richards. ISBN 0071444742
14 Introduction to Synthetic Aperture Imaging Chapter 8. M. A. Richards. ISBN 0071444742
15 SpaceTime Signal Processing Chapter 9. M. A. Richards. ISBN 0071444742
16 Applications Lecture Notes

 

Course Notes/Textbooks M. A. Richards, “Fundamentals of Radar Signal Processing”, McGrawHill, 2005, ISBN 0071444742.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
2
10
Portfolio
Homework / Assignments
8
20
Presentation / Jury
Project
5
20
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
25
Total

Weighting of Semester Activities on the Final Grade
75
Weighting of End-of-Semester Activities on the Final Grade
25
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
16
2
32
Field Work
0
Quizzes / Studio Critiques
2
1
2
Portfolio
0
Homework / Assignments
8
2
16
Presentation / Jury
0
Project
5
3
15
Seminar / Workshop
0
Oral Exam
0
Midterms
1
10
10
Final Exam
1
10
10
    Total
149

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Electrical and Electronics Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Electrical and Electronics Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Electrical and Electronics Engineering applications; uses computer and information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Electrical and Electronics Engineering research topics.

X
6

To be able to work efficiently in Electrical and Electronics Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to Electrical and Electronics Engineering; to be aware of the legal ramifications of Electrical and Electronics Engineering solutions.

X
9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications

X
10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

X
11

To be able to collect data in the area of Electrical and Electronics Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

X
12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Electrical and Electronics Engineering.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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