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 Ph.D.
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 carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

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