Course Details

ELE780 - Radar Systems

2023-2024 Spring term information
The course is not open this term
ELE780 - Radar Systems
Program Theoretýcal hours Practical hours Local credit ECTS credit
PhD 3 0 3 10
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 9 126
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 43 43
Total workload 40 86 296
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.
2. Has knowledge, skills and and competence to develop novel approaches in science and technology.
3. Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.
4. Can independently carry out all stages of a novel research project.
5. Designs, plans and manages novel research projects; can lead multidisiplinary projects.
6. Contributes to the science and technology literature.
7. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.
8. Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Minor Program For Non-departmental Students | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Erasmus+ Program | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering