Self-routing autonomous robots by IUE engineers
An autonomous robot that can re-route using artificial intelligence, when it encounters an obstacle, has been developed with the project ...
Course Name |
Radar, Sonar and Sismic Signal Processing
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Code
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Semester
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Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
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ECTS
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EEE 416
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Fall/Spring
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2
|
2
|
3
|
5
|
Prerequisites |
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Course Language |
English
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Course Type |
Elective
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Course Level |
First Cycle
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Mode of Delivery | - | |||||||||
Teaching Methods and Techniques of the Course | Application: Experiment / Laboratory / Workshop | |||||||||
National Occupation Classification | - | |||||||||
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 |
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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. |
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Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Management Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Related Preparation | Learning Outcome |
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 |
Semester Activities | Number | Weigthing | LO 1 | LO 2 | LO 3 | LO 4 | LO 5 |
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 |
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
|
#
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PC Sub | Program Competencies/Outcomes |
* Contribution Level
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||||
1
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2
|
3
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4
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5
|
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1 |
To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems |
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-
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-
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-
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2 |
To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. |
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-
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-
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-
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3 |
To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose. |
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4 |
To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively. |
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5 |
To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems. |
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6 |
To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
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7 |
To be able to communicate effectively in Turkish, both in oral and written forms; 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. |
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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 engineering; to be aware of the legal ramifications of engineering solutions. |
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9 |
To be aware of ethical behavior, professional and ethical responsibility; information on standards used in engineering applications. |
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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. |
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11 |
Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1) |
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12 |
To be able to use the second foreign language at intermediate level. |
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13 |
To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
An autonomous robot that can re-route using artificial intelligence, when it encounters an obstacle, has been developed with the project ...
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