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• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Basic information
Course title:	Introduction to Radar and Sonar Signal Processing
Course code:	ELEC 470
Lecturer:	Assist. Prof. Ahmet GÜNEŞ
ECTS credits:	6
GTU credits:	3 ()
Year, Semester:	4, Fall and Spring
Level of course:	First Cycle (Undergraduate)
Type of course:	Area Elective
Language of instruction:	Turkish
Mode of delivery:	Face to face
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.

Learning outcomes

Upon successful completion of this course, students will be able to:

1. List the basic principles of radar systems

   Contribution to Program Outcomes

   1. Apply the mathematical, scientific and engineering knowledge for real life problems
   2. Formulate and solve engineering problems
   3. Develop awareness for the problems in the field of Electronics Engineering and apply knowledge for the welfare of society

   Method of assessment

   1. Written exam
2. Apply the fundamental algorithms used in sensor systems

   Contribution to Program Outcomes

   1. Apply the mathematical, scientific and engineering knowledge for real life problems
   2. Formulate and solve engineering problems
   3. Find out new methods to improve his/her knowledge
   4. Employ modern techniques and operate technical devices

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Term paper
3. Gain experience on doing estimation and interpreting estimation results

   Contribution to Program Outcomes

   1. Design and conduct experiments, as well as analyze and interpret data
   2. Formulate and solve engineering problems

   Method of assessment

   1. Homework assignment
   2. Term paper

Contents
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.
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	8	20
Other in-term studies:	-	0
Project:	14	25
Homework:	4,6,7,10,13	30
Quiz:	-	0
Final exam:	16	25
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	3	14
Practice, Recitation:	0	0
Homework:	3	5
Term project:	20	1
Term project presentation:	0.5	1
Quiz:	0	0
Own study for mid-term exam:	10	1
Mid-term:	1.5	1
Personal studies for final exam:	15	1
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)