Subject » BMEVIHVMB09
Microwave Remote Sensing
Mikrohullámú távérzékelés
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
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| Subject name (Hungarian, English) |
Mikrohullámú távérzékelés
Microwave Remote Sensing
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| Subject code | BMEVIHVMB09 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | vizsga | ||||||||||||
| Credits | 5 | ||||||||||||
| Subject coordinator |
DR. Seller Rudolf
position: adjunktus
contact:
seller.rudolf@vik.bme.hu
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| Responsible department |
Szélessávú Hírközlés és Villamosságtan Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | https://hvt.bme.hu/ | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
Programme
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 categories and radar effective cross sections
- Micro-Doppler phenomenon
- Principle of bird-drone distinction
- Modulation and angular scanning procedures
- EW-ESM-ECM-ECCM
- Disruption and manipulative methods of deception
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.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
Lectures and classroom practices.
Tanulástámogató anyagok
Online források
Electronic notes in the subject's Teams group.
Recommended preliminary knowledge for completing the subject
Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
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Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
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General rules
Requirements:
During the teaching period: one midterm.
During the exam period: written exam
Pre-exam: available
Additional possibilities:
The midterm can be repeated once.
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
VIHVAC08 High Frequency Systems
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Requirements valid from:
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Requirements valid until:
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Curriculum placement
No curriculum placements recorded for this subject version.