Syllabus ( ELEC 470 )
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Basic information
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| Course title: |
Introduction to Radar and Sonar Signal Processing |
| Course code: |
ELEC 470 |
| Lecturer: |
Assist. Prof. Ahmet GÜNEŞ
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| ECTS credits: |
6 |
| GTU credits: |
3 () |
| Year, Semester: |
4, Fall and Spring |
| Level of course: |
First Cycle (Undergraduate) |
| Type of course: |
Area Elective
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| Language of instruction: |
Turkish
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| Mode of delivery: |
Face to face
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| Pre- and co-requisites: |
ELM367 min DD |
| Professional practice: |
No |
| Purpose of the course: |
Teaching the signal processing approaches used in different parts of sonar and radar systems. |
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Learning outcomes
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Upon successful completion of this course, students will be able to:
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List the basic principles of radar systems
Contribution to Program Outcomes
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Apply the mathematical, scientific and engineering knowledge for real life problems
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Formulate and solve engineering problems
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Develop awareness for the problems in the field of Electronics Engineering and apply knowledge for the welfare of society
Method of assessment
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Written exam
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Apply the fundamental algorithms used in sensor systems
Contribution to Program Outcomes
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Apply the mathematical, scientific and engineering knowledge for real life problems
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Formulate and solve engineering problems
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Find out new methods to improve his/her knowledge
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Employ modern techniques and operate technical devices
Method of assessment
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Written exam
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Homework assignment
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Term paper
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Gain experience on doing estimation and interpreting estimation results
Contribution to Program Outcomes
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Design and conduct experiments, as well as analyze and interpret data
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Formulate and solve engineering problems
Method of assessment
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Homework assignment
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Term paper
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Contents
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| Week 1: |
An introduction to radar and sonar systems |
| Week 2: |
Radar and Sonar Equations, Signal to Noise Ratio |
| Week 3: |
Sampling |
| Week 4: |
Doppler, Signal Waveforms, Ambiguity Functions |
| Week 5: |
Signal detection in passive and active systems |
| Week 6: |
Array Signal Processing, Beamforming |
| Week 7: |
Frequency domain beamforming |
| Week 8: |
Midterm Exam, beam interpolation |
| Week 9: |
Effect of array parameters on beamforming, Weighted Beamforming |
| Week 10: |
Weighted Beamforming |
| Week 11: |
Adaptive Beamforming |
| Week 12: |
Acoustic Vector Sensors |
| Week 13: |
DEMON Analysis, Wake Detection |
| Week 14: |
Project presentations |
| Week 15*: |
- |
| Week 16*: |
Final Exam |
| Textbooks and materials: |
1. R. O. Nielsen, Sonar Signal Processing. Artech House, 1991.
2. F. L. Chevalier, Principles of Radar and Sonar Signal Processing. Artech House, 2002. |
| Recommended readings: |
1. M. Ainslie, Principles of Sonar Performance Modelling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.
2. Q. Li, Digital Sonar Design in Underwater Acoustics: Principles and Applications. Hangzhou?: Berlin?; New York: Zhejiang University Press?; Springer, 2012.
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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Assessment
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| Method of assessment |
Week number |
Weight (%) |
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| Mid-terms: |
8 |
20 |
| Other in-term studies: |
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0 |
| Project: |
14 |
25 |
| Homework: |
4,6,7,10,13 |
30 |
| Quiz: |
- |
0 |
| Final exam: |
16 |
25 |
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Total weight: |
(%) |
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Workload
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| Activity |
Duration (Hours per week) |
Total number of weeks |
Total hours in term |
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| Courses (Face-to-face teaching): |
3 |
14 |
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| Own studies outside class: |
3 |
14 |
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| Practice, Recitation: |
0 |
0 |
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| Homework: |
3 |
5 |
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| Term project: |
20 |
1 |
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| Term project presentation: |
0.5 |
1 |
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| Quiz: |
0 |
0 |
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| Own study for mid-term exam: |
10 |
1 |
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| Mid-term: |
1.5 |
1 |
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| Personal studies for final exam: |
15 |
1 |
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| Final exam: |
2 |
1 |
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Total workload: |
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Total ECTS credits: |
* |
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* ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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