Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

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    Microwave Remote Sensing

    A tantárgy neve magyarul / Name of the subject in Hungarian: Mikrohullámú távérzékelés

    Last updated: 2024. március 26.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics
    Course ID Semester Assessment Credit Tantárgyfélév
    VIHVMB09   2/1/0/v 5  
    3. Course coordinator and department Dr. Seller Rudolf,
    Web page of the course https://hvt.bme.hu/
    4. Instructors Dr. Seller Rudolf
    5. Required knowledge -
    6. Pre-requisites
    Ajánlott:
    VIHVAC08 High Frequency Systems
    7. Objectives, learning outcomes and obtained knowledge
    In the areas of microwave remote sensing systems and its subsystems, Hungary has significant research, development and production potential, many domestic and international large companies have built R&D, production and operation centers, where they provide cutting-edge, complex work opportunities for domestic engineers.
    Engineers who study the subject and later obtain an MSc degree can find employment at the above domestic and multinational remote sensing (e.g. radar) companies, development and manufacturing companies, and research centers.
    The aim of the subject is to learn about the system level of modern remote sensing systems, as well as the signal and data processing algorithms of the systems. After describing the systems, it details the role and tasks of the system elements up to the depth of the design. We deal with the information that can be obtained through active and passive microwave remote sensing and the analysis of their quality parameters. The subject discusses in detail the theory and algorithms of remote sensing applications that are of great importance today (e.g. Synthetic Aperture Radar (SAR), Drone radar, vehicle radar, Over the Horizon Radar (OtH radar)).
    Within the scope of the subject, students acquire skill-level knowledge in the fields of theory, algorithms and application of microwave remote sensing systems. Students of the subject will be aware of the operation and structure of microwave remote sensing systems, and will be able to design the basic hardware and algorithm elements of these systems.
    8. Synopsis

    Basics of microwave remote sensing (2 weeks)

    • Organization and procedures of microwave remote sensing
    • Quality parameters, decision and theoretical aspects of estimation

    SAR imaging and signal processing (2 weeks)

    • Detailed presentation of SLAR imaging
    • Geometric distortions and their compensation possibilities
    • Theory and signal processing of SAR holographic imaging
    • Requirements for applicable antennas
    • Normal and SPOT modes
    • Inverse SAR, interferometric SAR

    Ionospheric wave propagation (1 week)

    • Fields of the ionosphere and their characteristics in the frequency bands of OTH radars

    OtH radars (1 week)

    • Operating principle, modulation modes
    • Special antenna requirements
    • Direction measurement

    Passive radar (2 weeks)

    • Passive and semi-passive radars
    • Different position determination principles
    • Multilateration
    • Inspection of illuminators
    • Elements of STASP signal processing.

    Weather radar (1 week)

    • Marshall-Palmer equation
    • MET radar range derivation
    • Basic and derived parameters that can be measured by Doppler radar

    Vehicle radars (1 week)

    • Applications and technical requirements
    • Frequencies and modulation waveforms
    • Antenna scanning strategies
    • Basics of object classification
    Drone reconnaissance radar (1 week)
    • Drone categories and radar effective cross sections
    • Micro-Doppler phenomenon
    • Principle of bird-drone distinction
    • Modulation and angular scanning procedures
    Special military applications (1 week)
    • EW-ESM-ECM-ECCM
    • Disruption and manipulative methods of deception
    9. Method of instruction Lectures and classroom practices.
    10. Assessment During the teaching period: one midterm.
    During the exam period: written exam
    Pre-exam: available
    11. Recaps The midterm can be repeated once.
    12. Consultations Consultation hours are offered regularly by all lecturers of the subject (as scheduled on the homepage).
    13. References, textbooks and resources Electronic notes in the subject's Teams group.
    14. Required learning hours and assignment
    Kontakt óra42
    Félévközi készülés órákra 13
    Felkészülés zárthelyire 25
    Házi feladat elkészítése 0
    Kijelölt írásos tananyag elsajátítása 20
    Vizsgafelkészülés50
    Összesen150
    15. Syllabus prepared by Dr. Seller Rudolf