ACADEMICS
Course Details

ELE680 - Radar Systems

2022-2023 Fall term information
The course is not open this term
ELE680 - Radar Systems
Program Theoretýcal hours Practical hours Local credit ECTS credit
MS 3 0 3 8
Obligation : Elective
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : It is aimed to give the following topics to the students; Radar fundamentals, Radar transmitters, and antennas, Radar wave propagation, Radar Target Models; Radar Cross Section (RCS) and clutter, Radar Receiver, Indicators and Displays, Radar Detection and Matched Filter, Ambiguity Function, Fundamentals of Radar Waveform Analysis, Pulse Compression, Fundamentals of CW and Pulsed Radars, Target Tracking and SAR Radars, to form a solid coverage of elements of radar systems starting from radar signal generation to the most complicated radar signal processing in tracking and SAR radars so that the students can identify the significance of each radar component and processing stage in the context of a radar system.
Learning outcomes : Understand the functions, application and hardware and software components of a radar system, Have a solid understanding of environmental components of a radar system, Identify the constraints in a radar system design, Choose the appropriate components, algorithms and modes of operation according to the constraints in a radar system design, Have the foundations to design a real life radar system.
Course content : Radar fundamentals; Radar transmitters; Radar antennas; Radar wave propagation between transmitter and receiver units; Radar target models; RCS; Radar clutter; Radar receiver and detection; Indicators and displays; Matched Filter; Ambiguity Function;Radar waveform analysis and Pulse Compression; Fundamentals of CW and Pulsed Radars; Fundamentals of target tracking; Fundamentals of SAR Radars
References : Mahafza, B.R., Radar System Analysis and Design Using MATLAB, Chapman &; Hall/CRC, 2000.; ; Eaves, J.L. and Reedy, E.K., Eds., Principles of Modern Radar, Van Nostrand Reindhold; Company, 1987.; ; Levanon, N., Radar Principles, John Wiley, 1988.; ; Skolnik, M.I., Introduction to Radar Systems, 2nd Ed, McGraw Hill, 1981.; ; Barton, D.K., Radar System Analysis, Prentice Hall, 1964.; ; Skolnik, M.I., Radar Handbook, 2nd Ed, McGraw Hill, 1990.; ; Nathanson, F.E., Radar Design Principles, McGraw Hill, 1969.; ; Long, M.W., Radar Reflectivity of Land and Sea, Artech House, 1983.; Internet Web Sites
Course Outline Weekly
Weeks Topics
1 Radar Fundamentals: definition, brief history, functions of radar, types of radar, components of a radar system, examples of radar systems, radar range equation, basics of a radar waveform, range and range resolution, Doppler shift and frequency reso
2 Radar Transmitter Fundamentals, Power Oscillator ? Transmitter configuration, Master Oscillator ? Power Amplifier Transmitter configuration, Transmitter Parameters, Magnetron Oscillator, Klystron, Traveling Wave Tube Amplifiers (TWT)
3 Antenna Fundamentals, Frequency Chart, Maxwell?s Equations, Radiation Mechanism, Radiation Integrals and Auxiliary Potentials, Field Regions, Antenna Signal in Transmission, Radiation from Current Elements and Apertures, Important Antenna Parameters,
4 Propagation Path: Why Propagation?, Radar Signal in Propagation, Atmospheric Layers, Atmospheric Attenuation, Refraction and Effective Earth Model, Multipath, Reflection, Pattern Propagation Factor, Diffraction and Interference
5 Target: Target Signal, Radar Cross Section (RCS), Cross Sections and Scattering Amplitude, RCS of Complex Objects, Basic RCS Reduction Techniques, Point and Vertically Extensive Targets, Statistical Models / Swerling Models
6 Radar Clutter: General characteristics of clutter, models of clutter, examples of simulated clutter signals, techniques for clutter cancellation, Constant False Alarm Rate (CFAR) detector
7 Fundamentals of Radar Receiver, Noise, Receiver Types: Superregenerative receiver, Crystal video receiver, Tuned radio frequency receiver (TRF), Superheterodyne receiver, Mixers,
8 Midterm Exam
9 Radar Detection in Noise, Detector Laws, Detector characteristics, Pulse Integration, Probability of Detection, Probability of False Alarm
10 Matched Filter, Ambiguity Function, Examples of Ambiguity Function computation for various radar signals, example of locating a target in range-Doppler space
11 Radar Waveform Analysis, Pulse Compression, Time-Bandwidth product, analog pulse compression, digital pulse compression
12 Fundamentals of CW, FMCW, Pulsed Radars, comparison of CW and Pulsed Radars, Application examples
13 Fundamentals of Target Tracking Radars, Monopulse antenna systems, phased array systems, track-while-scan radars, application examples
14 Fundamentals of Synthetic Aperture Radar (SAR), different modes of operation, definition of range resolution, SAR data processing, imaging with SAR, application examples
15 Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 10 30
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 30
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 5 70
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 10 6 60
Quiz 0 0 0
Midterms (Study duration) 1 25 25
Final Exam (Study duration) 1 45 45
Total workload 40 84 242
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.
4. Designs and runs research projects, analyzes and interprets the results.
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.
6. Produces novel solutions for problems.
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.
8. Follows technological developments, improves him/herself , easily adapts to new conditions.
9. Is aware of ethical, social and environmental impacts of his/her work.
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
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