M.SC. in Electrical and Electronics Engineering (With Thesis)

EEE 503 | Course Introduction and Application Information

Course Name

Introduction to Radar Signal Processing

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
EEE 503	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Doç. Dr. Türker İNCE
Assistant(s)	-

Course Objectives

This course covers introduction to radars, radar data acquisition, radar waveforms, the range equation, radar detection in interference, propagation effects and mechanisms, characteristics of clutter, target reflectivity, target reflectivity fluctuations, Doppler processing, radar antennas, transmitters and receivers, radar signal processing, and radar remote sensing topics.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	learn to use and discuss the basic techniques/algorithms of the field,
2	know to design simple radar systems and related signal processing blocks,
3	know to design radar signals and analyze their performance,
4	know to apply models and evaluate performance of different radar systems,
5	have knowledge of the advantages and limitations of different radar systems,
6	be able to design and implement radar signal processing algorithms using Matlab and its toolboxes.

Course Description

Introduction to radars, radar data acquisition, radar waveforms, the range equation, radar detection in interference, propagation effects and mechanisms, characteristics of clutter, target reflectivity, target reflectivity fluctuations, Doppler processing, radar antennas, transmitters and receivers, radar signal processing, and radar remote sensing.

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	Learning Outcome
1	Introduction to Radar Systems and Signal Processing	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 1)
2	Radar Signal Models; Amplitude, Clutter and Noise Models	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 2)
3	Radar Signal Models; Amplitude, Clutter and Noise Models	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 2)
4	Radar Signal Acquisition; Doppler and Range Ambiguities	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 3)
5	Radar Waveforms, The Matched Filter, The Ambiguity Function	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 4)
6	Radar Waveforms, The Matched Filter, The Ambiguity Function	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 4)
7	Review of the Semester
8	Doppler Processing, Moving Target Indication, Pulse Doppler Processing, Pulse-Pair Processing	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 5)
9	Doppler Processing, Moving Target Indication, Pulse Doppler Processing, Pulse-Pair Processing	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 5)
10	Radar Signal Detection, CFAR Detection, Range, Doppler and Angle Estimators	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 6)
11	Radar Signal Detection, CFAR Detection, Range, Doppler and Angle Estimators	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 6)
12	Synthetic Aperture Radar Fundamentals, Interferometric SAR	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 8)
13	Synthetic Aperture Radar Fundamentals, Interferometric SAR	M.A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill,2nd ed., 2013 (Ch. 8)
14	In-class Presentations
15	In-class Presentations
16	Review of the Semester

Course Notes/Textbooks	The textbook referenced above and course slides
Suggested Readings/Materials	Related Research Papers

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5	LO 6
Participation
Laboratory / Application	6	60
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project	2	40
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade	8	100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16	2	32
Study Hours Out of Class	15	4	60
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury			0
Project	2	42	84
Seminar / Workshop			0
Oral Exam			0
Midterms			0
Final Exam			0
		Total	224

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information		-	X	-	-	-
2	Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations		-	-	-	-	X
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines		-	-	X	-	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	X	-	-
5	Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	X
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	X	-	-
7	Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process.		-	-	-	-	X
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.		-	-	X	-	-
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	X	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		X	-	-	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Electrical and Electronics Engineering applications, knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications.		X	-	-	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics.		X	-	-	-	-