Radar Signal Processing (EE545) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Radar Signal Processing EE545 3 0 0 3 5
Pre-requisite Course(s)
Any signal and systems course
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Team/Group.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Ali Kara
Course Assistants
Course Objectives The aim of thei course is to provide operation of radar systems and signal processing techniques.
Course Learning Outcomes The students who succeeded in this course;
  • describe operation of radar systems and discuss their main design parameters and components
  • describe signals and waveforms used in radar systems
  • discuss problems and design challenges in radar signaling and waveforms
  • use various tools (or simulators) for signal and system level simulations in radar systems
  • discuss various signal processing techniques for various radar operations including MTI, pulse Doppler and SAR radars
Course Content Operation of radar systems and main design parameters; radar signaling and waveforms; analysis of radar waveforms for various operations including MTI, pulse Doppler and SAR, design and simulation tools for radar systems; current and future trends in radar signaling and systems.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introducing the course, radar systems in general See the lecture notes
2 Radar principles and main parameters-1 See the lecture notes
3 Radar principles and main parameters-2 See the lecture notes
4 Radar principles and main parameters-3 See the lecture notes
5 Signal processing techniques for various radar operation modes, receiver signal processing processes-1 See the lecture notes
6 Signal processing techniques for various radar operation modes, receiver signal processing processes-2 See the lecture notes
7 Signal processing techniques for various radar operation modes, receiver signal processing processes-3 See the lecture notes
8 Midterm Examination Study the lecture notes
9 Project work-1 Complete the project assignment
10 Project work-2 Complete the project assignment
11 Project work-3 Complete the project assignment
12 Project work-4 Complete the project assignment
13 Project work-5 Complete the project assignment
14 Project presentations Complete the project assignment
15 Review of topics See the lecture notes
16 Final examination period Study the lecture notes

Sources

Course Book 1. Richards, M.A, Fundamentals of Radar Signal Processing, McGraw Hill, 2005.
2. Skolnik,M.I., Introduction to Radar Systems , McGraw Hill, 2000.
Other Sources 3. Curry, G.R, Radar System Performance Modeling, 2nd ed., Artech House, 2005.
4. Levanon, N, Mozeson, A., Radar Signals, John Wiley and Sons, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 5 30
Homework Assignments - -
Presentation - -
Project 5 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 30
Toplam 12 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems. X
2 Implementing long-term research and development studies in the major fields of Electrical and Electronics Engineering. X
3 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications. X
4 Graduating researchers active on innovation and entrepreneurship.
5 Ability to report and present research results effectively.
6 Increasing the performance on accessing information resources and on following recent developments in science and technology.
7 An understanding of professional and ethical responsibility.
8 Increasing the performance on effective communications in both Turkish and English.
9 Increasing the performance on project management.
10 Ability to work successfully at project teams in interdisciplinary fields.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project 2 8 16
Report
Homework Assignments 5 8 40
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 8 8
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 127