13M031ANT - Antenna Arrays in Telecommunication Systems
| Course specification | ||||
|---|---|---|---|---|
| Course title | Antenna Arrays in Telecommunication Systems | |||
| Acronym | 13M031ANT | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | ||||
| Type of study | master academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | ||||
| The goal | Introduction to theoretical background, basic terminology, theoretical concepts and algorithms in antenna arrays and application of antenna arrays in wireless communication systems and they will be trained in solving of practical engineering problems and independent research activities in that field | |||
| The outcome | It is expected that PhD students are trained in foundation and algorithms of antenna array theory and trained for independent research and engineering activities in that field | |||
| Contents | ||||
| URL to the subject page | https://www.etf.bg.edu.rs/fis/karton_predmeta/13M031ANT-2019 | |||
| URL to lectures | https://teams.microsoft.com/l/team/19%3Aqkff-IzPnZQZXoxqd9fnqNfG2RUWCulPS3ZpKCqGamw1%40thread.tacv2/conversations?groupId=1559752f-f056-4c34-af51-a751b550bcfd&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba | |||
| Contents of lectures | Lectures cover the next chapters: Introduction to theory of antenna arrays. Mathematical models of wideband and narow band signals on antenna array. Algorithms for narrow band and widband spatial beamforming, Algorithms for direction of arrival estimation, Adaptive antenna arrays, MIMO systems, Application of antenna arrays in wireless communication systems. | |||
| Contents of exercises | Training in MATLAB, Practical training on antenna array development platforms. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 1 | |||
| Methods of teaching | Teaching methods are: Lectures, Laboratory training in MATLAB, Realization of projects. | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 50 | |
| Practical lessons | 30 | Oral examination | 20 | |
| Projects | ||||
| Colloquia | 0 | |||
| Seminars | 0 | |||